Combining Online and Offline Systems for Arabic Handwriting Recognition

被引：0
|
作者：
Azeem, Sherif Abdel [1 ]
Ahmed, Hany [1 ]
机构：
[1] AUC, Dept Elect Engn, Cairo, Egypt
来源：
2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012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：
The purpose of this research is to improve the recognition rate of online Arabic handwriting recognition using HMM (Hidden Markov Model). Delayed strokes are removed from the online Arabic word to avoid the difficulty and the confusion caused by the delayed strokes in the recognition process. A new technique for extracting offline features by dividing the image into non-uniform horizontal segments is presented. The integration between online and offline approaches has proven to give a better performance. With the combination we could increase the system performance over the best individual recognizer by 2.38%.
引用
收藏
页码：3725 / 3728
页数：4
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