Overview
- The first book of its kind, specifically devoted to the emerging field of OCR for Arabic Scripts
- Presents state-of-the-art research from an international selection of pre-eminent authorities in the field
- Describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition
- Includes supplementary material: sn.pub/extras
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Table of contents (23 chapters)
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Pre-Processing
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Recognition
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Evaluation
Keywords
About this book
Editors and Affiliations
About the editors
Volker Märgner is Academic Director of the Institute for Communications Technology (IfN) at Technische Universität Braunschweig, Germany. He has over 30 years research experience in image processing, pattern recognition, and handwriting recognition. He developed the IfN/ENIT-database of Arabic handwritten names which is the reference for Arabic handwritten word recognition systems and organized competitions both together with Haikal El Abed.
Haikal El Abed is a Senior Research Engineer at the Institute for Communications Technology (IfN) at Technische Universität Braunschweig, Germany. He has more than 10 years research experience in pattern recognition and Arabic text recognition, on-line and off-line. He organizes competitions and works on the collection of databases.
Bibliographic Information
Book Title: Guide to OCR for Arabic Scripts
Editors: Volker Märgner, Haikal El Abed
DOI: https://doi.org/10.1007/978-1-4471-4072-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2012
Hardcover ISBN: 978-1-4471-4071-9Published: 04 July 2012
Softcover ISBN: 978-1-4471-5976-6Published: 09 August 2014
eBook ISBN: 978-1-4471-4072-6Published: 03 July 2012
Edition Number: 1
Number of Pages: XX, 592
Topics: Image Processing and Computer Vision, Natural Language Processing (NLP), Pattern Recognition