A Simple and Effective Technique for Online Handwritten Bangla Character Recognition

被引：2
|
作者：
Sen, Shibaprasad [1 ]
Sarkar, Ram [2 ]
Roy, Kaushik [3 ]
机构：
[1] Future Inst Engn & Management, Kolkata, India
[2] Jadavpur Univ, Kolkata, India
[3] West Bengal State Univ, Barasat, India
来源：
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2015 | 2016年 / 404卷
关键词：
Online character recognition; Handwritten Bangla script; Stroke classification; Distance-based feature;
D O I：
10.1007/978-81-322-2695-6_18
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 have proposed a simple but effective feature extraction technique following the distance-based features to recognize online handwritten isolated Bangla basic characters. In this approach, a character is divided into N number of segments and then distances are calculated among each other. These distance values are then used as features for recognition purpose. On evaluation of this feature set on 10,000 Bangla character samples (50-class character set) by various classifiers, the method yields reasonably good result with 98.20 % success rate.
引用
收藏
页码：201 / 209
页数：9
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