Probabilistic model for segmentation based word recognition with lexicon.

被引：0
|
作者：
Tulyakov, S [1 ]
Govindaraju, V [1 ]
机构：
[1] SUNY Buffalo, CEDAR, Buffalo, NY 14260 USA
来源：
SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we describe the construction of a model for off-line word recognizers based on over-segmentation of input image and recognition of segment combinations as characters in a given lexicon word. One such recognizes, Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve. the performance of WMR.
引用
收藏
页码：164 / 167
页数：2
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