DocumentCode
1527419
Title
Analog design of a new neural network for optical character recognition
Author
Morns, Ian P. ; Dlay, Satnam S.
Author_Institution
Dept. of Electr. & Electron. Eng., Newcastle upon Tyne Univ., UK
Volume
10
Issue
4
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
951
Lastpage
953
Abstract
An electronic circuit is presented for a new type of neural network, which gives a recognition rate of over 100 kHz. The network is used to classify handwritten numerals, presented as Fourier and wavelet descriptors, and has been shown to train far quicker than the popular backpropagation network while maintaining classification accuracy
Keywords
analogue processing circuits; feedforward neural nets; handwritten character recognition; neural chips; optical character recognition; Fourier descriptors; classification accuracy; handwritten numerals; recognition rate; wavelet descriptors; Backpropagation; Character recognition; Electronic circuits; Negative feedback; Neural networks; Neurons; Optical character recognition software; Optical computing; Optical design; Optical fiber networks;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.774269
Filename
774269
Link To Document