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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201751
