Editors:
- First comprehensive book on the topic of Indic Script OCRs
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (16 chapters)
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Front Matter
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Section: Recognition of Indic scripts
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Front Matter
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Section: Retrieval of Indic documents
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Front Matter
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Back Matter
About this book
Optical Character Recognition (OCR) is a key enabling technology critical to creating indexed, digital library content, and it is especially valuable for Indic scripts, for which there has been very little digital access.
Indic scripts, the ancient Brahmi scripts prevalent in the Indian subcontinent, present some challenges for OCR that are different from those faced with Latin and Oriental scripts. But properly utilized, OCR will help to make Indic digital archives practically accessible to researchers and lay users alike by creating searchable indexes and machine-readable text repositories.
This unique guide/reference is the very first comprehensive book on the subject of OCR for Indic scripts, providing an overview of the state-of-the-art research in this field as well as other issues related to facilitating query and retrieval of Indic documents from digital libraries. All major research groups working in this area are represented in this book, which is divided into sections on recognition of Indic scripts and retrieval of Indic documents.
Topics and features:
- Contains contributions from the leading researchers in the field
- Discusses data set creation for OCR development
- Describes OCR systems that cover eight different scripts: Bangla, Devanagari, Gurmukhi, Gujarati, Kannada, Malayalam, Tamil, and Urdu (Perso-Arabic)
- Explores the challenges of Indic script handwriting recognition in the online domain
- Examines the development of handwriting-based text input systems
- Describes ongoing work to increase access to Indian cultural heritage materials
- Provides a section on the enhancement of text and images obtained from historical Indic palm leaf manuscripts
- Investigates different techniques for word spotting in Indic scripts
- Reviews mono-lingual and cross-lingual information retrieval in Indic languages
This is an excellent reference for researchers and graduate students studying OCR technology and methodologies. This volume will contribute to opening up the rich Indian cultural heritage embodied in millions of ancient and contemporary documents spanning topics such as science, literature, medicine, astronomy, mathematics and philosophy.
Venu Govindaraju FIEEE FIAPR, is a Distinguished Professor of Computer Science and Engineering at the University at Buffalo. He has over 20 years of research experience in pattern recognition, information retrieval and biometrics. His seminal work on handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.
Srirangaraj Setlur SMIEEE, is a Principal Research Scientist at the University at Buffalo. He has over 15 years of research experience in pattern recognition that includes NSF sponsored work on multilingual OCR technologies for digital libraries and other applications. His work on postal automation has led to technology adopted by the U.S. Postal Service, and Royal Mail in the U.K.
Editors and Affiliations
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Analysis & Recognition (CEDAR), Center of Excellence for Document, Amherst, U.S.A.
Venu Govindaraju, Srirangaraj (Ranga) Setlur
Bibliographic Information
Book Title: Guide to OCR for Indic Scripts
Book Subtitle: Document Recognition and Retrieval
Editors: Venu Govindaraju, Srirangaraj (Ranga) Setlur
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84800-330-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2010
Hardcover ISBN: 978-1-84800-329-3Published: 09 October 2009
Softcover ISBN: 978-1-4471-2518-1Published: 14 March 2012
eBook ISBN: 978-1-84800-330-9Published: 25 September 2009
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXI, 325
Number of Illustrations: 150 b/w illustrations, 11 illustrations in colour