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A variation and distortion tolerant structural pre-classifier for hierarchical character recognition

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3 Author(s)
Khan, N.A. ; Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands ; Hegt, H.A. ; Allue, I.C.

This paper presents a structural pre-classification approach to reduce the number of class models to be compared with a given sample during the main classification stage. This helps to increase the overall classification speed and to improve the recognition accuracy. The approach is based on preparing high-level coarse shape models of character classes permitting similar character-classes to merge into super-groups. The approach is robust to distortion and font or writing style variations

Published in:

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on  (Volume:5 )

Date of Conference:

11-14 Oct 1998

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