Hand written Digit Recognition System for South Indian Languages using Artificial Neural Networks

被引：0
|
作者：
Pauly, Leo [1 ]
Raj, Rahul D. [1 ]
Paul, Binu [1 ]
机构：
[1] Cochin Univ Sci & Technol, Sch Engn, Div Elect Engn, Kochi 682022, Kerala, India
来源：
2015 EIGHTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3) | 2015年
关键词：
digit recognition; back propagation; feed forward neural network; HOG features; south Indian languages;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper a novel approach for recognition of handwritten digits for South Indian languages using artificial neural networks (ANN) and Histogram of Oriented Gradients (HOG) features is presented. The images of documents containing the hand written digits are optically scanned and are segmented into individual images of isolated digits. HOG features are then extracted from these images and applied to the ANN for recognition. The system recognises the digits with an overall accuracy of 83.4%.
引用
收藏
页码：122 / 126
页数：5
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