Facial Expression Recognition Based on Gabor Filter Performance Analysis

Dong Cheng Shi; Fang  Cai; Xiao Ding Shi

doi:10.4028/www.scientific.net/AMM.427-429.1727

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Facial Expression Recognition Based on Gabor...

Facial Expression Recognition Based on Gabor Filter Performance Analysis

Abstract:

This paper extracts the Gabor phase feature information to classify facial expression. First, preprocessing the image for obtaining the normalization image of pure expression, Gabor transform has good space-frequency localized and multi-directional selectivity, so uses Gabor filter with five frequencies and eight directions to filter the pure expression image. By changing the filter's center frequency, get the optimal image after filtering, and then extract the phase features, carry on the dimension reduction. Finally, with nearest neighbor classifier to classify, a better experimental result had shown in JAFFE database.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1727-1730

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1727

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Online since:

September 2013

Authors:

Dong Cheng Shi*, Fang Cai, Xiao Ding Shi

Keywords:

Expression Feature Extraction, Facial Expression Recognition, Gabor Wavelet Transform, Phase Feature

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* - Corresponding Author

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