Adaptive blocks for skeleton segmentation in handwritten Thai character

被引：0
|
作者：
Arunrungrusmi, S [1 ]
Chamnongthai, K [1 ]
机构：
[1] King Mongkuts Univ Technol, Thonburi, Thailand
来源：
2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS | 2000年
关键词：
D O I：
10.1109/APCCAS.2000.913633
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The structural analysis in character recognition system is mostly depending on stroke segmentation process. To improve the system, a novel segmentation algorithm for handwritten Thai character, adaptive block. is proposed. A character is segmented into basic elements by using adaptive block. The block can be formed by using distinctive feature of Thai character such as cavity. local minimum and maximum point. After segmentation process, each segment is coded as primitive codes. Experiments were performed on a lightly constrained handwritten Thai characters data set that obtained from ten Thai peoples. The experimental results have shown the proposed method is robust against the diversity of handwritten Thai character and its codes satisfied to recognize.
引用
收藏
页码：767 / 770
页数：4
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