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Probabilistic model for segmentation based word recognition with lexicon

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2 Author(s)
Tulyakov, S. ; CEDAR, State Univ. of New York, Buffalo, NY, USA ; Govindaraju, V.

We describe the construction of a model for off-line word recognizers based on over-segmentation of the input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, the Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR

Published in:
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Date of Conference: 2001

Page(s):
164 - 167
Meeting Date :
10 Sep 2001-13 Sep 2001
Print ISBN:
0-7695-1263-1
INSPEC Accession Number:
7093124
Conference Location :
Seattle, WA
Digital Object Identifier :
10.1109/ICDAR.2001.953776
Product Type:
Conference Publications

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