Handbook of character recognition and document image analysis
著者
書誌事項
Handbook of character recognition and document image analysis
World Scientific, c1997
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.
目次
- Arabic character recognition, A. Amin
- automatic reading of braille documents, A. Antonacopoulos
- techniques for improving OCR results, A. Dengel
- offline handwritten word recognition using hidden Markov models, A. Kundu
- combinations of multiple classifier decisions for OCR, L. Lam and C.Y. Suen
- classification techniques - statistical pattern recognition, neural networks and their relations, J. Schurmann
- cursive handwriting recognition - contextual and context - free techniques, M. Shridhar and Kimura
- multilingual document recognition, L. Spitz
- information retrieval and OCR, K. Taghva
- technical drawing analysis - including vectorization, D. Dori and K. Tombre
- reading of music notation, N. Carter and D. Bainbridge
- benchmarking, T. Nartker et al
- automatic signature verification, S. Impedovo. (Part Contents).
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