Handwritten Digit Recognition by Fourier-Packet Descriptors

• Berthiaume, Vincent ^[1] ; Cheriet, Mohamed ^[2]
  1. [1] Laboratory for Imagery, Vision and Artificial Intelligence
  2. [2] Synchromedia Laboratory for Multimedia Communication in Telepresence
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 11, Nº. 1, 2012 (Ejemplar dedicado a: December 2012), págs. 68-76
• Idioma: inglés
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• Resumen

  • 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.