Direction code based features for recognition of online handwritten characters of Bangla

被引：0
|
作者：
Bhattacharya, Ujwal [1 ]
Gupta, Bikash K. [1 ]
Parui, Swapan K. [1 ]
机构：
[1] Indian Stat Inst, Comp Vis & Pattern Recognit Unit, Kolkata 108, India
来源：
ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS | 2007年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the present article, we describe a novel direction code based feature extraction approach for recognition of online Bangla handwritten basic characters. We have implemented the proposed approach on a database of 7043 online handwritten Bangla (a major script of the Indian subcontinent) character samples, which has been developed by us. This is a 50-class recognition problem and we achieved 93.90% and 83.61% recognition accuracies respectively on its training and test sets.
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页码：58 / 62
页数：5
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