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Docker in Action
by Jeffrey Nickoloff Stephen KuenzliEven small applications have dozens of components. Large applications may have thousands, which makes them challenging to install, maintain, and remove. Docker bundles all application components into a package called a container that keeps things tidy and helps manage any dependencies on other applications or infrastructure. Docker in Action, Second Edition teaches you the skills and knowledge you need to create, deploy, and manage applications hosted in Docker containers. This bestseller has been fully updated with new examples, best practices, and entirely new chapters. You'll start with a clear explanation of the Docker model and learn how to package applications in containers, including techniques for testing and distributing applications.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Docker in Practice
by Ian Miell Aidan SayersSummaryDocker in Practice, Second Edition presents over 100 practical techniques, hand-picked to help you get the most out of Docker. Following a Problem/Solution/Discussion format, you'll walk through specific examples that you can use immediately, and you'll get expert guidance on techniques that you can apply to a whole range of scenarios.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyDocker's simple idea-wrapping an application and its dependencies into a single deployable container-created a buzz in the software industry. Now, containers are essential to enterprise infrastructure, and Docker is the undisputed industry standard. So what do you do after you've mastered the basics? To really streamline your applications and transform your dev process, you need relevant examples and experts who can walk you through them. You need this book. About the BookDocker in Practice, Second Edition teaches you rock-solid, tested Docker techniques, such as replacing VMs, enabling microservices architecture, efficient network modeling, offline productivity, and establishing a container-driven continuous delivery process. Following a cookbook-style problem/solution format, you'll explore real-world use cases and learn how to apply the lessons to your own dev projects.What's insideContinuous integration and deliveryThe Kubernetes orchestration toolStreamlining your cloud workflowDocker in swarm modeEmerging best practices and techniquesAbout the ReaderWritten for developers and engineers using Docker in production.About the AuthorIan Miell and Aidan Hobson Sayers are seasoned infrastructure architects working in the UK. Together, they used Docker to transform DevOps at one of the UK's largest gaming companies.Table of ContentsPART 1 - DOCKER FUNDAMENTALSDiscovering DockerUnderstanding Docker: Inside the engine roomPART 2 - DOCKER AND DEVELOPMENTUsing Docker as a lightweight virtual machineBuilding imagesRunning containersDay-to-day DockerConfiguration management: Getting your house in orderPART 3 - DOCKER AND DEVOPSContinuous integration: Speeding up your development pipeline Continuous delivery: A perfect fit for Docker principlesNetwork simulation: Realistic environment testing without the painPART 4 - ORCHESTRATION FROM A SINGLE MACHINE TO THE CLOUDA primer on container orchestrationThe data center as an OS with DockerDocker platformsPART 5 - DOCKER IN PRODUCTIONDocker and securityPlain sailing: Running Docker in productionDocker in production: Dealing with challenges
Docker Management Design Patterns
by Deepak VohraTake container cluster management to the next level; learn how to administer and configure Kubernetes on CoreOS; and apply suitable management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability. Some of the other features discussed are logging, scheduling, rolling updates, volumes, service types, and multiple cloud provider zones. The atomic unit of modular container service in Kubernetes is a Pod, which is a group of containers with a common filesystem and networking. The Kubernetes Pod abstraction enables design patterns for containerized applications similar to object-oriented design patterns. Containers provide some of the same benefits as software objects such as modularity or packaging, abstraction, and reuse. CoreOS Linux is used in the majority of the chapters and other platforms discussed are CentOS with OpenShift, Debian 8 (jessie) on AWS, and Debian 7 for Google Container Engine. CoreOS is the main focus becayse Docker is pre-installed on CoreOS out-of-the-box. CoreOS: Supports most cloud providers (including Amazon AWS EC2 and Google Cloud Platform) and virtualization platforms (such as VMWare and VirtualBox) Provides Cloud-Config for declaratively configuring for OS items such as network configuration (flannel), storage (etcd), and user accounts Provides a production-level infrastructure for containerized applications including automation, security, and scalability Leads the drive for container industry standards and founded appc Provides the most advanced container registry, Quay Docker was made available as open source in March 2013 and has become the most commonly used containerization platform. Kubernetes was open-sourced in June 2014 and has become the most widely used container cluster manager. The first stable version of CoreOS Linux was made available in July 2014 and since has become one of the most commonly used operating system for containers. What You'll Learn Use Kubernetes with Docker Create a Kubernetes cluster on CoreOS on AWS Apply cluster management design patterns Use multiple cloud provider zones Work with Kubernetes and tools like Ansible Discover the Kubernetes-based PaaS platform OpenShift Create a high availability website Build a high availability Kubernetes master cluster Use volumes, configmaps, services, autoscaling, and rolling updates Manage compute resources Configure logging and scheduling Who This Book Is For Linux admins, CoreOS admins, application developers, and container as a service (CAAS) developers. Some pre-requisite knowledge of Linux and Docker is required. Introductory knowledge of Kubernetes is required such as creating a cluster, creating a Pod, creating a service, and creating and scaling a replication controller. For introductory Docker and Kubernetes information, refer to Pro Docker (Apress) and Kubernetes Microservices with Docker (Apress). Some pre-requisite knowledge about using Amazon Web Services (AWS) EC2, CloudFormation, and VPC is also required.
Docker Networking Cookbook
by Jon Langemak60 practical recipes that help you gain expertise with Docker networking and understand the underlying constructs that make it all work About This Book * Enhance your Docker networking skills and protect your organization using advanced networking functions * Learn how to use third party tools to extend Docker networking * This practical and recipe-based book demonstrates the different ways in which you can network containers leveraging the Docker engine. Who This Book Is For The book is for system administrators as well as developers who are well versed with the concepts of Docker and have basic knowledge of Docker networking. You should also have sound knowledge of networking in general. What You Will Learn * Configure Linux networking primitives used by Docker networking * Build and deploy user-defined Docker networks * Examine the different options for resolving and linking containers * Implement custom networks for Docker to consume * Discover third-party networking plugins such as Weave and Flannel * Work through solutions to secure Docker containers and networks * Observe methodologies for troubleshooting container networks * Explore advanced and experimental Docker networking features In Detail Networking functionality in Docker has changed considerably since its first release, evolving to offer a rich set of built-in networking features, as well as an extensible plugin model allowing for a wide variety of networking functionality. This book explores Docker networking capabilities from end to end. Begin by examining the building blocks used by Docker to implement fundamental containing networking before learning how to consume built-in networking constructs as well as custom networks you create on your own. Next, explore common third-party networking plugins, including detailed information on how these plugins inter-operate with the Docker engine. Consider available options for securing container networks, as well as a process for troubleshooting container connectivity. Finally, examine advanced Docker networking functions and their relevant use cases, tying together everything you need to succeed with your own projects. Style and approach This practical recipe-based book will take readers to next level of Docker networking. It covers relevant use cases and the advanced features of Docker
Docker on Amazon Web Services: Build, deploy, and manage your container applications at scale
by Justin MengaRun Docker on AWS and build real-world, secure, and scalable container platforms on cloudKey FeaturesConfigure Docker for the ECS environmentIntegrate Docker with different AWS toolsImplement container networking and deployment at scaleBook DescriptionOver the last few years, Docker has been the gold standard for building and distributing container applications. Amazon Web Services (AWS) is a leader in public cloud computing, and was the first to offer a managed container platform in the form of the Elastic Container Service (ECS).Docker on Amazon Web Services starts with the basics of containers, Docker, and AWS, before teaching you how to install Docker on your local machine and establish access to your AWS account. You'll then dig deeper into the ECS, a native container management platform provided by AWS that simplifies management and operation of your Docker clusters and applications for no additional cost. Once you have got to grips with the basics, you'll solve key operational challenges, including secrets management and auto-scaling your infrastructure and applications. You'll explore alternative strategies for deploying and running your Docker applications on AWS, including Fargate and ECS Service Discovery, Elastic Beanstalk, Docker Swarm and Elastic Kubernetes Service (EKS). In addition to this, there will be a strong focus on adopting an Infrastructure as Code (IaC) approach using AWS CloudFormation.By the end of this book, you'll not only understand how to run Docker on AWS, but also be able to build real-world, secure, and scalable container platforms in the cloud.What you will learnBuild, deploy, and operate Docker applications using AWSSolve key operational challenges, such as secrets managementExploit the powerful capabilities and tight integration of other AWS servicesDesign and operate Docker applications running on ECSDeploy Docker applications quickly, consistently, and reliably using IaCManage and operate Docker clusters and applications for no additional costWho this book is forDocker on Amazon Web Services is for you if you want to build, deploy, and operate applications using the power of containers, Docker, and Amazon Web Services. Basic understanding of containers and Amazon Web Services or any other cloud provider will be helpful, although no previous experience of working with these is required.
Docker on Windows
by Elton StonemanLearn how to run new and old Windows applications in Docker containers. About This Book • Package traditional .NET Frameworks apps and new .NET Core apps as Docker images, and run them in containers for increased efficiency, portability, and security • Design and implement distributed applications that run across connected containers, using enterprise-grade open source software from public Docker images • Build a full Continuous Deployment pipeline for a .NET Framework application, and deploy it to a highly-available Docker swarm running in the cloud Who This Book Is For If you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios. What You Will Learn • Comprehend key Docker concepts: images, containers, registries, and swarms • Run Docker on Windows 10, Windows Server 2016, and in the cloud • Deploy and monitor distributed solutions across multiple Docker containers • Run containers with high availability and fail-over with Docker Swarm • Master security in-depth with the Docker platform, making your apps more secure • Build a Continuous Deployment pipeline by running Jenkins in Docker • Debug applications running in Docker containers using Visual Studio • Plan the adoption of Docker in your own organization In Detail Docker is a platform for running server applications in lightweight units called containers. You can run Docker on Windows Server 2016 and Windows 10, and run your existing apps in containers to get significant improvements in efficiency, security, and portability. This book teaches you all you need to know about Docker on Windows, from 101 to deploying highly-available workloads in production. This book takes you on a Docker journey, starting with the key concepts and simple examples of how to run .NET Framework and .NET Core apps in Windows Docker containers. Then it moves on to more complex examples—using Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up monoliths into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. To help you move confidently to production, it then explains Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects, together with some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure. Style and approach Using a step-by-step approach, this book shows you how to use Docker on Windows. It includes practical examples and real-world technical and business scenarios that will help you effectively implement Docker in your environment.There are over 50 examples of Dockerized applications, using C# .NET projects as the source and packaging them into Docker images.
Docker on Windows - Second Edition: From 101 to production with Docker on Windows, 2nd Edition
by Elton StonemanIf you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios.
Docker Orchestration
by Randall SmithA concise, fast-paced guide to orchestrating and deploying scalable services with Docker About This Book • Explore the new features added to the core Docker Engine to make multi-container orchestration easy • Leverage tools such as Docker Machine, Swarm, Compose, and third-party tools such as Kubernetes, Mesosphere, and CoreOS to orchestrate containers • Use Docker Compose with Swarm and apply rolling updates for zero downtime deployments Who This Book Is For This book is aimed at Sysadmins and DevOps engineers who know what Docker does and are now looking to manage multiple containers on multiple hosts using the orchestration feature. What You Will Learn • Build scalable, reliable services with Docker • See how to manage a service in Docker using Docker Swarm, Kubernetes, and Mesosphere • Discover simpler orchestration tools such as CoreOS/Fleet and Rancher Cattle • Understand cluster-wide logging, system monitoring, and troubleshooting • Build, test, and deploy containers using Continuous Integration • Deploy cluster hosts on cloud services and automate your infrastructure In Detail Docker orchestration is what you need when transitioning from deploying containers individually on a single host to deploying complex multi-container apps on many machines. This book covers the new orchestration features of Docker 1.12 and helps you efficiently build, test, and deploy your application using Docker. You will be shown how to build multi-container applications using Docker Compose. You will also be introduced to the building blocks for multi-host Docker clusters such as registry, overlay networks, and shared storage using practical examples. This book gives an overview of core tools such as Docker Machine, Swarm, and Compose which will enhance your orchestration skills. You'll learn how to set up a swarm using the decentralized building block. Next, you'll be shown how to make the most out of the in-built orchestration feature of Docker engine and you'll use third-party tools such as Kubernetes, Mesosphere, and CoreOS to orchestrate your existing process. Finally, you will learn to deploy cluster hosts on cloud services and automate your infrastructure. Style and approach This comprehensive guide will take you through the orchestration feature of Docker. Using practical examples, you will discover various tools that can be used to manage multiple containers with ease.
Docker Quick Start Guide: Learn Docker like a boss, and finally own your applications
by Earl WaudDevelop and build your Docker images and deploy your Docker containers securely.Key FeaturesLearn Docker installation on different types of OSGet started with developing Docker imagesUse Docker with your Jenkins CI/CD systemBook DescriptionDocker is an open source software platform that helps you with creating, deploying, and running your applications using containers. This book is your ideal introduction to Docker and containerization.You will learn how to set up a Docker development environment on a Linux, Mac, or Windows workstation, and learn your way around all the commands to run and manage your Docker images and containers.You will explore the Dockerfile and learn how to build your own enterprise-grade Docker images. Then you will learn about Docker networks, Docker swarm, and Docker volumes, and how to use these features with Docker stacks in order to define, deploy, and maintain highly-scalable, fault-tolerant multi-container applications.Finally, you will learn how to leverage Docker with Jenkins to automate the building of Docker images and the deployment of Docker containers. By the end of this book, you will be well prepared when it comes to using Docker for your next project.What you will learnSet up your Docker workstation on various platformsUtilize a number of Docker commands with parametersCreate Docker images using DockerfilesLearn how to create and use Docker volumesDeploy multi-node Docker swarm infrastructureCreate and use Docker local and remote networksDeploy multi-container applications that are HA and FTUse Jenkins to build and deploy Docker imagesWho this book is forThis guide is for anyone who needs to make a quick decision about using Docker for their next project. It is for developers who want to get started using Docker right away.
Docker: Up & Running
by Sean P. Kane Karl MatthiasDocker and Linux containers have fundamentally changed the way that organizations develop, deliver, and run software at scale. But understanding why these tools are important and how they can be successfully integrated into your organization's ecosystem can be challenging. This fully updated guide provides developers, operators, architects, and technical managers with a thorough understanding of the Docker tool set and how containers can improve almost every aspect of modern software delivery and management.This edition includes significant updates to the examples and explanations that reflect the substantial changes that have occurred since Docker was first released almost a decade ago. Sean Kane and Karl Matthias have updated the text to reflect best practices and to provide additional coverage of new features like BuildKit, multi-architecture image support, rootless containers, and much more.Learn how Docker and Linux containers integrate with cloud services and KubernetesExperience building OCI images, plus deploying and managing Linux containers with powerful command-line toolsUnderstand how OCI images simplify dependency management and deployment workflow for your applicationsLearn practical techniques for deploying and testing Linux containers in productionDeploy production containers at scale wherever you need themExplore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration
The Docker Workshop: Learn how to use Docker containers effectively to speed up the development process
by Vincent Sesto Aric Renzo Onur Yilmaz Sathsara Sarathchandra Engy FoudaGet started with Docker on your local machine and progress towards deploying useful applications in production with this simplified, practical guideKey FeaturesGet a working understanding of Docker containers by incorporating them in your development processComplete interesting exercises to learn how to secure and control access of your containersWork with advanced features of Docker to make your development process smoother and reliable Book DescriptionNo doubt Docker Containers are the future of highly-scalable software systems and have cost and runtime efficient supporting infrastructure. But learning it might look complex as it comes with many technicalities. This is where The Docker Workshop will help you.Through this workshop, you'll quickly learn how to work with containers and Docker with the help of practical activities.The workshop starts with Docker containers, enabling you to understand how it works. You'll run third party Docker images and also create your own images using Dockerfiles and multi-stage Dockerfiles. Next, you'll create environments for Docker images, and expedite your deployment and testing process with Continuous Integration. Moving ahead, you'll tap into interesting topics and learn how to implement production-ready environments using Docker Swarm. You'll also apply best practices to secure Docker images and to ensure that production environments are running at maximum capacity. Towards the end, you'll gather skills to successfully move Docker from development to testing, and then into production. While doing so, you'll learn how to troubleshoot issues, clear up resource bottlenecks and optimize the performance of services.By the end of this workshop, you'll be able to utilize Docker containers in real-world use cases.What you will learnGet a solid understanding of how Docker containers workNetwork Docker images and environments to allow communication between servicesBuild and publish docker images from a CI/CD pipelineUse Docker Swarm to implement production-ready environmentsFind out how to replace Swarm with Kubernetes clustersExtend your Docker images with PluginsWho this book is forThis is the right learning asset if you are a developer or a beginner who wants to get a practical understanding of Docker containers. If you have experienced in running command shells or knowledge of IntelliJ, atom, or VSCode editors, then you will grasp the topics covered here quickly.
Docs-as-Ecosystem: The Community Approach to Engineering Documentation
by Alejandra QuetzalliInvesting in engineering documentation (Docs) means investing in community user experience. This book teaches readers how mastering the docs-as-code ecosystem empowers communities to understand better their favorite products and Open-Source (OSS) technologies better. Author Alejandra Quetzalli believes that “docs-as-ecosystem” represents a more comprehensive and collaborative approach to documentation development than “docsas- code” because it recognizes that documentation is more than just code. Docs involve technical writing, design, community feedback, community management, accessibility, SEO, UX, and today… even Artificial Intelligence tools! The word ecosystem promotes a paradigm where we treat documentation as a complex and dynamic system that must be managed and nurtured. In this book, you’ll acquire practical skills such as creating public style guides, incorporating responsive and accessible design, designing user flows and information architecture, retrieving user feedback, and setting up Docs analytics. You’ll learn to identify the difference in work processes between maintaining Docs for a product versus an OSS technology. You’ll discover the secrets to managing technical writers and OSS contributions, all while building a thriving Docs community. To end on a futuristic note, you’ll discover why technical writers who harness Artificial Intelligence (AI) tools (i.e., ChatGPT) need not fear a robot uprising anytime soon. What You'll LearnExamine accessibility and the user experienceUnderstand Information architecture Review docs-as-ecosystem processes Manage technical writersOversee OSS Docs contributions Retrieve and integrate user feedback Build Docs and Education communities Who This Book is ForDevelopers of all levels, VPs of Product/Engineering, Product Managers, and Designers,
Docs for Developers: An Engineer’s Field Guide to Technical Writing
by Jared Bhatti Zachary Sarah Corleissen Jen Lambourne David Nunez Heidi WaterhouseLearn to integrate programming with good documentation. This book teaches you the craft of documentation for each step in the software development lifecycle, from understanding your users’ needs to publishing, measuring, and maintaining useful developer documentation.Well-documented projects save time for both developers on the project and users of the software. Projects without adequate documentation suffer from poor developer productivity, project scalability, user adoption, and accessibility. In short: bad documentation kills projects. Docs for Developers demystifies the process of creating great developer documentation, following a team of software developers as they work to launch a new product. At each step along the way, you learn through examples, templates, and principles how to create, measure, and maintain documentation—tools you can adapt to the needs of your own organization. What You'll Learn Create friction logs and perform user research to understand your users’ frustrationsResearch, draft, and write different kinds of documentation, including READMEs, API documentation, tutorials, conceptual content, and release notesPublish and maintain documentation alongside regular code releasesMeasure the success of the content you create through analytics and user feedbackOrganize larger sets of documentation to help users find the right information at the right time Who This Book Is For Ideal for software developers who need to create documentation alongside code, or for technical writers, developer advocates, product managers, and other technical roles that create and contribute to documentation for their products and services.
Doctor Ecco's Cyberpuzzles: 36 Puzzles for Hackers and Other Mathematical Detectives
by Dennis E. Shasha"Dennis Shasha is the absolute best puzzle writer alive."--David Gelernter, professor of computer science, Yale University In the tradition of Sherlock Holmes, Dr. Ecco is one of the greatest sleuths of our time, a mathematical wizard who uses logic and computer programming to solve crimes, find treasures, and explore space. Join his team, expand the frontiers of your knowledge, and match wits with him on intriguing cases like "The Virus from the Spy" and "The Secrets of Space" and "The Caribou and the Gas." The puzzles collected here require no formal background beyond arithmetic and elementary algebra--just lively curiosity and keen intelligence. With thirty-six illustrated cases organized around eight major mathematical themes (from Combinatorial Geometry and Geography to Ciphers and Secrecy) this book will encourage you to use your mind and your computer in ways you never previously imagined.
Doctor Robot-O
by Lela NargiCan you imagine visiting a doctor's office for an illness or injury, but getting treated by a robot instead? According to some researchers, this could be the reality in the not too distant future. Ongoing research into artificial intelligence and its use in medicine might someday produce robots that will work alongside human doctors and nurses to deliver the best health care possible.
Doctoral Symposium on Information and Communication Technologies: Second Doctoral Symposium, DSICT 2022, Manta, Ecuador, October 12–14, 2022, Proceedings (Communications in Computer and Information Science #1647)
by Karina Abad Santiago BerrezuetaThis book constitutes the refereed proceedings of the Second Doctoral Symposium on Information and Communication Technologies, DSICT 2022, held in Manta, Ecuador, in October 2022. The 15 full papers were thoroughly reviewed and selected from the 72 submissions. The papers present research in areas of intelligent systems, artificial intelligence, ICTs and their applications to the real world.
Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers (Communications in Computer and Information Science #1020)
by Suresh Sundaram Gaurav Harit1. This book constitutes the refereed proceedings of the 4th Workshop on Document Analysis and Recognition, DAR 2018, held in Conjunction with ICVGIP 2018, in Hyderabad, India, in December 2018. The 12 revised full papers and 2 short papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections: document layout analysis and understanding; handwriting recognition and symbol spotting; character and word segmentation; handwriting analysis; datasets and performance evaluation.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV (Lecture Notes in Computer Science #12824)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: scene text detection and recognition, document classification, gold-standard benchmarks and data sets, historical document analysis, and handwriting recognition. In addition, the volume contains results of 13 scientific competitions held during ICDAR 2021.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12822)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12821)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III (Lecture Notes in Computer Science #12823)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.
Document Analysis and Recognition – ICDAR 2021 Workshops: Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12917)
by Elisa H. Barney Smith Umapada PalThis book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 submissions and divided into two volumes. Part II contains 30 full and 8 short papers that stem from the following meetings: Workshop on Machine Learning (WML); Workshop on Open Services and Tools for Document Analysis (OST); Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR); Workshop on Computational Paleography (IWCP); Workshop on Document Images and Language (DIL); Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).
Document Analysis and Recognition – ICDAR 2021 Workshops: Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12916)
by Elisa H. Barney Smith Umapada PalThis book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: ICDAR 2021 Workshop on Graphics Recognition (GREC); ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021); ICDAR 2021 Workshop on Computational Document Forensics (IWCDF). The main topics of the contributions are document processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; signature verification and document forensics, and others.
Document Analysis and Recognition – ICDAR 2023 Workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14193)
by Mickael Coustaty Alicia FornésThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML).
Document Analysis and Recognition – ICDAR 2023 Workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14194)
by Mickael Coustaty Alicia FornésThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML).