DocumentCode :
286758
Title :
A hardware polynomial feature net for handprinted digit recognition
Author :
Rao, A. ; Anderson, P.G. ; Gaborski, R.S. ; Jaiswal, K.S.
Author_Institution :
Eastman Kodak Co., Rochester, NY, USA
fYear :
1993
fDate :
25-27 May 1993
Firstpage :
36
Lastpage :
40
Abstract :
The potential market for document processing systems makes it desirable to implement character recognition algorithms in low-cost, mass-produceable integrated circuits. This paper describes the hardware implementation of an algorithm which has excellent recognition accuracy and is simple in design. An automatic layout method, performance on a standard data set, SPICE simulation results and quantization issues are discussed
Keywords :
character recognition; document image processing; neural nets; SPICE simulation; character recognition; document processing systems; handprinted digit recognition; neural nets; polynomial feature net; quantization;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-85296-573-7
Type :
conf
Filename :
263261
Link To Document :
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