Meaningful segmentation of offline individual handwritten numeric characters

被引：1
|
作者：
Batuwita, K. B. M. R.
Bandara, G. E. M. D. C.
机构：
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
关键词：
D O I：
10.1109/FUZZY.2006.1681907
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy Logic plays a vital role in handwriting recognition, since a fuzzy character recognition system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. One of the major requirements of such a fuzzy system is the segmentation of individual characters into meaningful segments. Then these segments can be used for the extraction of fuzzy features of the handwritten characters. This paper describes two algorithms for the meaningful segmentation of individual offline handwritten numeric skeletons.
引用
收藏
页码：1500 / 1505
页数：6
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