Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization

Authors:
Cheng-Lin Liu;Hiroshi Sako;Hiromichi Fujisawa
Affiliations:
-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Year:
2003

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Abstract

Nonlinear normalization (NLN) by line densityequalization has been popularly used in handwrittenChinese character recognition (HCCR). To overcomethe intensive computation of local line density and theexcessive shape distortion of NLN, we tested some alternative methods based on global transformation, including a moment-based linear transformation and twononlinear methods based on quadratic curve fitting.The alternative methods are simpler in computationand the transformed images have more natural shapes.In experiments of HCCR on large databases, the alternative methods have yielded comparable or higher accuracies to the traditional NLN.