Catalog Home Page

Automatic extraction of strokes by quadratic neural nets

Alder, M.D. and Attikiouzel, Y. (1992) Automatic extraction of strokes by quadratic neural nets. In: International Joint Conference on Neural Networks, IJCNN 92, 7 - 11 July, Baltimore, MD, USA pp. 559-564.

[img]
Preview
PDF - Published Version
Download (379kB)
Link to Published Version: http://dx.doi.org/10.1109/IJCNN.1992.287153
*Subscription may be required

Abstract

The authors present a preliminary exploration of some ideas from syntactic pattern recognition theory and some insights of D.A. Marr (1970). The use of quadratic neural nets for the automatic extraction of strokes is examined. The concrete problem of optical character recognition (OCR) of handwritten characters is considered. That human OCR of cursive script entails both upwriting and downwriting into strokes and presumably other structures is eminently plausible, as an examination of the differences between human and machine OCR makes clear. That this is accomplished by arrays of neurons in the central nervous system is indisputable

Publication Type: Conference Paper
Publisher: IEEE
Copyright: © 1992 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/19979
Item Control Page Item Control Page

Downloads

Downloads per month over past year