DocumentCode
2067011
Title
Neural network for connected character recognition
Author
Fukushima, Kunihiko
Author_Institution
Fac. of Eng. Sci., Osaka Univ., Toyonaka, Japan
fYear
1993
fDate
24-26 Nov 1993
Firstpage
76
Lastpage
78
Abstract
A connected character recognition system using an architecture based on the selective attention model of a neural network is described. The discussion covers pattern recognition, segmentation, repairing imperfect patterns, attention focusing, search control, attention switching, size and position information, and computer simulation. Improvement of the system by the introduction of bend-detection cells is noted
Keywords
character recognition; image reconstruction; image segmentation; neural nets; parallel architectures; architecture; attention focusing; attention switching; bend detection cells; computer simulation; connected character recognition; imperfect pattern repairing; neural network; search control; segmentation; selective attention model; Character recognition; Deformable models; Feature extraction; Handwriting recognition; Image segmentation; Neural networks; Pattern recognition; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-4260-2
Type
conf
DOI
10.1109/ANNES.1993.323077
Filename
323077
Link To Document