Handwritten Character Recognition using Wavelet Transform and Hopfield Network

被引：2
|
作者：
Malik, Prateek [1 ]
Dixit, Rinku [2 ]
机构：
[1] MRCE, Dept Comp Sci & Engn, Faridabad, India
[2] MRCE, Dept Informat Technol, Faridabad, India
来源：
2013 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND RESEARCH ADVANCEMENT (ICMIRA 2013) | 2013年
关键词：
Hopfield Network; Wavelet Transform; Handwritten character recognition;
D O I：
10.1109/ICMIRA.2013.31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An off-line handwritten alphabetical character recognition system using Wavelet Transform and Hopfield Network is described in the paper. Hopfield Network has been used in the system as they are known for their ability to retain patterns. The wavelet transforms are used for extracting features from the images. The results show that the network was able to recognize all the characters at a distortion level of 30%, at 40% it recognized only a few characters and at all the distortion levels above 40% it was not able to recognize any of the characters.
引用
收藏
页码：125 / 129
页数：5
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