文章基本信息

标题：Handwritten Digit Recognition by Fourier-Packet Descriptors
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作者：Vincent Berthiaume ; Mohamed Cheriet
期刊名称：ELCVIA: electronic letters on computer vision and image analysis
印刷版ISSN：1577-5097
出版年度：2012
卷号：11
期号：1
语种：English
出版社：Centre de Visió per Computador
摘要：Any statistical pattern recognition system includes a feature extraction component. For character patterns, several feature families have been tested, such as the Fourier-Wavelet Descriptors. We are proposing here a generalization of this family: the Fourier-Packet Descriptors. We have tested a set of 72 of these features on handwritten digits: the error rate was 2.44% with classifier 1NN for 19 features selected from the set and 1.72% with classifier SVM for all the set.
关键词：Feature Analysis;Fourier-Wavelet Descriptor;Handwritten Digit;Rotation Invariance;Wavelet Packet