Handwritten Digit Recognition by Fourier-Packet Descriptors

ELCVIA Electronic Letters on Computer Vision and Image Analysis

Vincent Berthiaume¹  Mohamed Cheriet² 

[1] Laboratory for Imagery, Vision and Artificial Intelligence;Synchromedia Laboratory for Multimedia Communication in Telepresence;

关键词: Feature Analysis;    Fourier-Wavelet Descriptor;    Handwritten Digit;    Rotation Invariance;    Wavelet Packet;   

DOI  :  10.5565/rev/elcvia.476

来源: DOAJ

【 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.

【 授权许可】

Unknown