A multi-stream approach to off-line handwritten word recognition

被引：0
|
作者：
Kessentini, Yousri [1 ,2 ]
Paquet, Thierry [1 ]
Benhamadou, AbdelMajid [2 ]
机构：
[1] Univ Rouen, Lab LITIS EA 4051, F-76821 Mont St Aignan, France
[2] Univ Sfax, Lab MIRACL, Sfax, Tunisia
来源：
ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS | 2007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：
We present in this paper a new approach based on multi-stream hidden Markov models (HMM) for the recognition off-Line handwriting. Every word is presented by, two HMM models: the first One is learned with features extracted from upper contour, the second with features extracted from lower contour. The combination of these two sources of information is studied using the multi-stream framework. We Present experiment results obtained on a database composed of isolated Words extracted from incoming mail documents.
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页码：317 / +
页数：2
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