Journal of Jilin University Science Edition

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Lip Classification Based on Fourier Descriptors

ZHANG Zeliang, SONG Shaocheng, ZHANG Dishi, CAO Jian   

  1. School of Information Technology and Media, Beihua University, Jilin 132001, Jilin Province, China
  • Received:2014-02-17 Online:2015-01-26 Published:2015-01-19
  • Contact: SONG Shaocheng E-mail:31599306@qq.com

Abstract:

Aiming at the describing the problem of lip reading status, the authors presented a method to classify lip shapes based on Fourier descriptor. Localization of the lip region can be found by an iterative calculation method. Firstly, Canny’s edge detection method was used in order to define the lip contour. Then, in order to find the best parameters of lip’s shape, a Fourier descriptor was used. Important parameters allowing us to express the useful information of lip’s shape status were then extracted. Finally, the different parameters characterizing the input lip were classified into lip categories. The experimental results show that this method has a higher accuracy of lip’s classification, consumes less time, and provides a clear basis for each status during lip recognition.

Key words: lip detection, lip classification, Fourier decriptor

CLC Number: 

  • TP391.4