Cursive word analysis

Cursive script recognition is important in the automation of document processing. Due to the large variation of letter shapes and handwriting styles in unconstrained cursive handwriting, the domain is much more difficult than single character recognition. The uhimate goal of cursive word research is...

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Bibliographic Details
Main Author: Wang, Jiren.
Other Authors: Leung, Maylor Karhang
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/20511
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author Wang, Jiren.
author2 Leung, Maylor Karhang
author_facet Leung, Maylor Karhang
Wang, Jiren.
author_sort Wang, Jiren.
collection NTU
description Cursive script recognition is important in the automation of document processing. Due to the large variation of letter shapes and handwriting styles in unconstrained cursive handwriting, the domain is much more difficult than single character recognition. The uhimate goal of cursive word research is to develop a machine which can read any unconstrained handwritten word with the same recognition capability as humans. If the features people use to recognize cursive words are properly described and used in a cursive word recognition system, it is expected that the computer can imitate what humans can do.
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spelling ntu-10356/205112020-09-27T20:15:34Z Cursive word analysis Wang, Jiren. Leung, Maylor Karhang School of Applied Science DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Cursive script recognition is important in the automation of document processing. Due to the large variation of letter shapes and handwriting styles in unconstrained cursive handwriting, the domain is much more difficult than single character recognition. The uhimate goal of cursive word research is to develop a machine which can read any unconstrained handwritten word with the same recognition capability as humans. If the features people use to recognize cursive words are properly described and used in a cursive word recognition system, it is expected that the computer can imitate what humans can do. Master of Applied Science 2009-12-15T03:09:31Z 2009-12-15T03:09:31Z 1995 1995 Thesis http://hdl.handle.net/10356/20511 en NANYANG TECHNOLOGICAL UNIVERSITY 105 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Wang, Jiren.
Cursive word analysis
title Cursive word analysis
title_full Cursive word analysis
title_fullStr Cursive word analysis
title_full_unstemmed Cursive word analysis
title_short Cursive word analysis
title_sort cursive word analysis
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
url http://hdl.handle.net/10356/20511
work_keys_str_mv AT wangjiren cursivewordanalysis