Optical Character Recognition Based Retrieval

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Optical Character Recognition Based Retrieval

Author : Biniam Asnake,Girma Aweke
Publisher : LAP Lambert Academic Publishing
Page : 100 pages
File Size : 51,7 Mb
Release : 2014-08-05
Category : Electronic
ISBN : 3659574333

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Optical Character Recognition Based Retrieval by Biniam Asnake,Girma Aweke Pdf

The automation of manual activities was a long-time imagination of human beings. With the development of computers, this dream is coming to be realized. Over the past 50 years, many researches are conducted to develop machines and software that help and sometimes replace human beings. Optical Character Recognition(OCR) is one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. OCR systems take scanned images of paper documents as input, and automatically convert them into digital format for computer-aided data processing. In the first part of this book, the definition, architecture, benefits, applications and issues of developing of OCR systems are covered. A total of fifteen researches are reviewed and a summary of the identified problems, objective of the study, methods, techniques and algorithms applied or innovated, scope and limitation, performance evaluation as well as the future research direction pointed by all researches are presented in an interesting manner. Finally conclusion and recommendations with references to reviewed literatures are presented.

Optical Character Recognition

Author : Stephen V. Rice,George Nagy,Thomas A. Nartker
Publisher : Springer Science & Business Media
Page : 198 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461550211

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Optical Character Recognition by Stephen V. Rice,George Nagy,Thomas A. Nartker Pdf

Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.

Reading and Learning

Author : Andreas Dengel,Markus Junker,Anette Weisbecker
Publisher : Springer
Page : 368 pages
File Size : 43,6 Mb
Release : 2004-04-01
Category : Computers
ISBN : 9783540246428

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Reading and Learning by Andreas Dengel,Markus Junker,Anette Weisbecker Pdf

The amounts of information that are ?ooding people both at the workplace and in private life have increased dramatically in the past ten years. The number of paper documents doubles every four years, and the amount of information stored on all data carriers every six years. New knowledge, however, increases at a considerably lower rate. Possibilities for automatic content recognition in various media and for the processing of documents are therefore becoming more important every day. Especially in economic terms, the e?cient handling of information, i.e., ?- ing the right information at the right time, is an invaluable resource for any enterprise, but it is particularly important for small- and medium-sized ent- prises. The market for document management systems, which in Europe had a volume of approximately 5 billion euros in 2000, will increase considerably over the next few years. The BMBF recognized this development at an early stage. As early as in 1995, it pooled national capabilities in this ?eld in order to support research on the automatic processing of information within the framework of a large collaborative project (READ) involving both industrial companies and research centres. Evaluation of the results led to the conclusion that research work had been successful, and, in a second phase, funding was provided for the colla- rative follow-up project Adaptive READ from 1999 to 2003. The completion of thesetwoimportantlong-termresearchprojectshascontributedsubstantiallyto improving the possibilities of content recognition and processing of handwritten, printed and electronic documents.

Document Recognition and Retrieval

Author : Anonim
Publisher : Unknown
Page : 236 pages
File Size : 55,8 Mb
Release : 2004
Category : Image processing
ISBN : UOM:39015048087772

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Document Recognition and Retrieval by Anonim Pdf

PROCEEDINGS OF ACADEMICS WORLD INTERNATIONAL CONFERENCE

Author : Miss. Madhusmita Satapathy
Publisher : Institute for Technology and Research (ITRESEARCH) Bhubaneswar, India
Page : 63 pages
File Size : 49,6 Mb
Release : 2022-05-05
Category : Technology & Engineering
ISBN : 9789390150328

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PROCEEDINGS OF ACADEMICS WORLD INTERNATIONAL CONFERENCE by Miss. Madhusmita Satapathy Pdf

Disclaimer: Authors have ensured sincerely that all the information given in this book is accurate, true, comprehensive, and correct right from the time it has been brought in writing. However, the publishers, the editors, and the authors are not to be held responsible for any kind of omission or error that might appear later on, or for any injury, damage, loss, or financial concerns that might arise as consequences of using the book.

Guide to OCR for Indic Scripts

Author : Venu Govindaraju,Srirangaraj (Ranga) Setlur
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 50,9 Mb
Release : 2009-09-25
Category : Computers
ISBN : 9781848003309

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Guide to OCR for Indic Scripts by Venu Govindaraju,Srirangaraj (Ranga) Setlur Pdf

This is the first comprehensive text on Optical Character Recognition for Indic scripts. It covers many topics and describes OCR systems for eight different scripts—Bangla, Devanagari, Gurmukhi, Gujarti, Kannada, Malayalam, Tamil and Urdu.

Digital Document Processing

Author : Bidyut B. Chaudhuri
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 55,7 Mb
Release : 2007-03-13
Category : Computers
ISBN : 9781846287268

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Digital Document Processing by Bidyut B. Chaudhuri Pdf

This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.

Optical Character Recognition Systems for Different Languages with Soft Computing

Author : Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K Ghosh
Publisher : Springer
Page : 248 pages
File Size : 41,5 Mb
Release : 2016-12-23
Category : Technology & Engineering
ISBN : 9783319502526

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Optical Character Recognition Systems for Different Languages with Soft Computing by Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K Ghosh Pdf

The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

Recent Trends in Image Processing and Pattern Recognition

Author : K.C. Santosh,Mallikarjun Hangarge,Vitoantonio Bevilacqua,Atul Negi
Publisher : Springer
Page : 452 pages
File Size : 50,7 Mb
Release : 2017-04-26
Category : Computers
ISBN : 9789811048593

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Recent Trends in Image Processing and Pattern Recognition by K.C. Santosh,Mallikarjun Hangarge,Vitoantonio Bevilacqua,Atul Negi Pdf

This book constitutes the refereed proceedings of the First International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016, held in Bidar, Karnataka, India, in December 2016. The 39 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on document analysis; pattern analysis and machine learning; image analysis; biomedical image analysis; biometrics.

Camera-Based Document Analysis and Recognition

Author : Masakazu Iwamura,Faisal Shafait
Publisher : Springer
Page : 173 pages
File Size : 46,9 Mb
Release : 2012-04-12
Category : Computers
ISBN : 9783642293641

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Camera-Based Document Analysis and Recognition by Masakazu Iwamura,Faisal Shafait Pdf

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.

ICCCE 2018

Author : Amit Kumar,Stefan Mozar
Publisher : Springer
Page : 801 pages
File Size : 44,5 Mb
Release : 2018-08-31
Category : Technology & Engineering
ISBN : 9789811302121

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ICCCE 2018 by Amit Kumar,Stefan Mozar Pdf

This book comprises selected articles from the International Communications Conference (ICC) 2018 held in Hyderabad, India in 2018. It offers in-depth information on the latest developments in voice-, data-, image- and multimedia processing research and applications, and includes contributions from both academia and industry.

Internet Multimedia Computing and Service

Author : Benoit Huet,Liqiang Nie,Richang Hong
Publisher : Springer
Page : 496 pages
File Size : 49,5 Mb
Release : 2018-02-28
Category : Computers
ISBN : 9789811085307

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Internet Multimedia Computing and Service by Benoit Huet,Liqiang Nie,Richang Hong Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Internet Multimedia Computing and Service, ICIMCS 2017, held in Qingdao, China, in August 2017. The 20 revised full papers and 28 revised short papers presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on multimedia information fusion, image processing and object recognition, machine learning and representation learning, multimedia retrieval, poster papers.

Document Image Processing

Author : Ergina Kavallieratou,Laurence Likforman-Sulem
Publisher : MDPI
Page : 217 pages
File Size : 46,6 Mb
Release : 2018-10-03
Category : Electronic
ISBN : 9783038971054

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Document Image Processing by Ergina Kavallieratou,Laurence Likforman-Sulem Pdf

This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging

String Processing and Information Retrieval

Author : Jorma Tarhio
Publisher : Springer Science & Business Media
Page : 365 pages
File Size : 49,5 Mb
Release : 2009-08-11
Category : Computers
ISBN : 9783642037832

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String Processing and Information Retrieval by Jorma Tarhio Pdf

This book constitutes the proceedings of the 18th International Symposium on String Processing and Information Retrieval, SPIRE 2011, held in Pisa, Italy, in October 2011. The 30 long and 10 short papers together with 1 keynote presented were carefully reviewed and selected from 102 submissions. The papers are structured in topical sections on introduction to web retrieval, sequence learning, computational geography, space-efficient data structures, algorithmic analysis of biological data, compression, text and algorithms.

Integrated Region-Based Image Retrieval

Author : James Z. Wang
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 41,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461516415

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Integrated Region-Based Image Retrieval by James Z. Wang Pdf

Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.