Title :
A new algorithm for handwritten character recognition
Author :
Xiaoyan, Zhu ; Yifan, Shi
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
A new algorithm of handwritten character recognition based on feedback theory is proposed. We suggest this new method by adding confidence back-propagation and input modification on the neural network model, thus preprocessing and recognition are integrated closely. Convergence of the algorithm is proved. Experiments show that it greatly reduced the system´s error rate and was robust to environmental noise
Keywords :
backpropagation; document image processing; feature extraction; feedback; handwritten character recognition; image classification; neural nets; optical character recognition; OCR; artificial neural network; confidence back-propagation; feature classifier; feature extractor; feedback theory; handwritten character recognition; input modification; Artificial neural networks; Character recognition; Control systems; Feature extraction; Feedback loop; Image recognition; Noise robustness; Optical character recognition software; Signal processing; Working environment noise;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959250
