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
页码：68-76
语种：Undetermined
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 selected sets of these features and tested them on handwritten digits: the error rate was 1. 55% with a polynomial classifier for a 70 features set and 1. 97% with a discriminative learning quadratic discriminant function for a 40 features set.
