Camera-Based Document Analysis and Recognition

Camera-Based Document Analysis and Recognition PDF Author: Masakazu Iwamura
Publisher: Springer Science & Business Media
ISBN: 3642293638
Category : Computers
Languages : en
Pages : 180

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Book Description
This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images, camera-based systems, and datasets and evaluation.

Camera-Based Document Analysis and Recognition

Camera-Based Document Analysis and Recognition PDF Author: Masakazu Iwamura
Publisher: Springer Science & Business Media
ISBN: 3642293638
Category : Computers
Languages : en
Pages : 180

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Book Description
This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images, camera-based systems, and datasets and evaluation.

Document Analysis Systems

Document Analysis Systems PDF Author: Xiang Bai
Publisher: Springer Nature
ISBN: 3030570584
Category : Computers
Languages : en
Pages : 588

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Book Description
This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020. The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification. Due to the Corona pandemic the conference was held as a virtual event .

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 PDF Author: Suresh Chandra Satapathy
Publisher: Springer
ISBN: 3319120123
Category : Technology & Engineering
Languages : en
Pages : 783

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Book Description
This volume contains 87 papers presented at FICTA 2014: Third International Conference on Frontiers in Intelligent Computing: Theory and Applications. The conference was held during 14-15, November, 2014 at Bhubaneswar, Odisha, India. This volume contains papers mainly focused on Network and Information Security, Grid Computing and Clod Computing, Cyber Security and Digital Forensics, Computer Vision, Signal, Image & Video Processing, Software Engineering in Multidisciplinary Domains and Ad-hoc and Wireless Sensor Networks.

Document Image Analysis

Document Image Analysis PDF Author: Lawrence O'Gorman
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 542

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Book Description


Document Analysis and Recognition – ICDAR 2021

Document Analysis and Recognition – ICDAR 2021 PDF Author: Josep Lladós
Publisher: Springer Nature
ISBN: 303086331X
Category : Computers
Languages : en
Pages : 878

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Book Description
This 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.

Machine Learning in Document Analysis and Recognition

Machine Learning in Document Analysis and Recognition PDF Author: Simone Marinai
Publisher: Springer Science & Business Media
ISBN: 3540762795
Category : Computers
Languages : en
Pages : 435

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Book Description
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.

Image Analysis and Recognition

Image Analysis and Recognition PDF Author: Aurelio Campilho
Publisher: Springer
ISBN: 364213775X
Category : Computers
Languages : en
Pages : 465

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Book Description
This book constitutes the thoroughly refereed proceedings of the 7th International Conference, ICIAR 2010, held in Póvoa de Varzin, Portugal in June 2010. The 88 revised full papers were selected from 164 submissions. The papers are organized in topical sections on Image Morphology, Enhancement and Restoration, Image Segmentation, Featue Extraction and Pattern Recognition, Computer Vision, Shape, Texture and Motion Analysis, Coding, Indexing, and Retrieval, Face Detection and Recognition, Biomedical Image Analysis, Biometrics and Applications.

Camera-Based Document Analysis and Recognition

Camera-Based Document Analysis and Recognition PDF Author: Masakazu Iwamura
Publisher: Springer
ISBN: 3319051679
Category : Computers
Languages : en
Pages : 191

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013, held in Washington, DC, USA, in August 2013. The 14 revised full papers presented were carefully selected during two rounds of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images and camera-based systems.

Handbook of Document Image Processing and Recognition

Handbook of Document Image Processing and Recognition PDF Author: David Doermann
Publisher: Springer
ISBN: 9780857298607
Category : Computers
Languages : en
Pages : 1055

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Book Description
The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.

Mining Multimedia Documents

Mining Multimedia Documents PDF Author: Wahiba Ben Abdessalem Karaa
Publisher: CRC Press
ISBN: 1315399725
Category : Computers
Languages : en
Pages : 260

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Book Description
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.