An improved method for the character recognition based on SVM
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Image representation using accurate orthogonal Gegenbauer moments
Pattern Recognition Letters
Orthogonal moments for efficient feature extraction from line structure based biometric images
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed Gegenbauer moment method for Chinese character recognition is proposed. Compared with the results based on other moment methods, the Gegenbauer moments can provide a modest improvement in terms of recognition for those Chinese characters that are very similar in shapes. We conclude that the proposed new Gegenbauer moment method can supplement the existing Chinese character recognition techniques based on local structure features.