Title :
A neural network approach to handprint character recognition
Author :
Jackel, L.D. ; Stenard, C.E. ; Baird, H.S. ; Boser, B. ; Bromley, J. ; Burges, C.J.C. ; Denker, J.S. ; Graf, H.P. ; Henderson, D. ; Howard, R.E. ; Hubbard, W. ; LeCun, Y. ; Matan, O. ; Pednault, E. ; Satterfield, W. ; Sackinger, E. ; Thompson, T.
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
fDate :
Feb. 25 1991-March 1 1991
Abstract :
The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratories, including a recognition network that learns feature extraction kernels and a custom VLSI chip that is designed for neural-net image processing. It is concluded that both high speed and high accuracy can be obtained using neural-net methods for character recognition. Networks can be designed that learn their own feature extraction kernels. Special-purpose neural-net chips combined with digital signal processors can quickly evaluate character-recognition neural nets. This high speed is particularly useful for recognition-based segmentation of character strings.<>
Keywords :
VLSI; computerised picture processing; neural nets; optical character recognition; custom VLSI chip; digital signal processors; feature extraction kernels; handprint character recognition; neural network approach; neural-net image processing; optical character recognition; recognition-based segmentation; special purpose neural net chips; Character recognition; Feature extraction; High speed optical techniques; Image recognition; Kernel; Neural networks; Optical character recognition software; Optical computing; Optical fiber networks; Very large scale integration;
Conference_Titel :
Compcon Spring '91. Digest of Papers
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-8186-2134-6
DOI :
10.1109/CMPCON.1991.128851
