DocumentCode
3057712
Title
A structurally adaptive neural tree for the recognition of large character set
Author
Li, T. ; Tang, Y.Y. ; Suen, S.C. ; Fang, L.Y. ; Jennings, A.J.
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
187
Lastpage
190
Abstract
This paper presents an adaptive self-organizing neural tree and its application to character recognition. The neural tree is suitable for hierarchical classification and it can grow and shrink to adapt to the changing environment. It also performs parametric adaptation to cope with small changes in the environment. When applied to character pattern recognition, it shows promising performance
Keywords
character recognition; neural nets; self-adjusting systems; character recognition; hierarchical classification; large character set; parametric adaptation; self-organizing neural tree; structurally adaptive neural tree; Adaptive systems; Application software; Character recognition; Classification tree analysis; Computer architecture; Computer science; Function approximation; Neural networks; Pattern recognition; Production facilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201751
Filename
201751
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