DocumentCode
1580870
Title
A handwritten character recognition method with ANN feedback
Author
Xiaoyan, Zhu ; Yifan, Shi
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
255
Lastpage
259
Abstract
In this paper, a new approach of handwritten character recognition system with Artificial Neural Network (ANN) feedback is proposed. This recognition system is based on a neural recognition network and a neural feedback network, the out put of which is used to modify the feature of the input pattern, thus preprocessing and recognition are integrated closely. Experiments show that this approach can make system performance very good and robust to environmental noise
Keywords
feedback; handwritten character recognition; neural nets; optical character recognition; artificial neural network feedback; handwritten character recognition method; neural feedback network; neural recognition network; Artificial neural networks; Character recognition; Control systems; Feature extraction; Feedback loop; Neurofeedback; Noise robustness; Pattern recognition; Signal processing; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7695-1263-1
Type
conf
DOI
10.1109/ICDAR.2001.953794
Filename
953794
Link To Document