Aspect Ratio Adaptive Normalization for Handwritten Character Recognition

Authors:
Cheng-Lin Liu;Masashi Koga;Hiroshi Sako;Hiromichi Fujisawa
Affiliations:
-;-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

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Abstract

The normalization strategy is popularly used in character recognition to reduce the shape variation. This procedure, however, also gives rise to excessive shape distortion and eliminates some useful information. This paper proposes an aspect ratio adaptive normalization (ARAN) method to overcome the above problems and so as to improve the recognition performance. Experimental results of multilingual character recognition and numeral recognition demonstrate the advantage of ARAN over conventional normalization method.