Face Recognition Based on the Combination of Enhanced Local Texture Feature and DBN under Complex Illumination Conditions
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초록
To combat the adverse impact imposed by illumination variation in the face recognition process, an effectiveand feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented byapplying the central symmetric encode principle on the fused component images acquired from the waveletdecomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) togain robust deep features of face images under severe illumination conditions. Abundant experiments withdifferent test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain faceimages under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBPcombined with DBN, our proposed method achieves the most satisfying recognition rate regardless of thedatabase used, the test scheme adopted or the illumination condition encountered, especially for the facerecognition under severe illumination variation.
Abstract
To combat the adverse impact imposed by illumination variation in the face recognition process, an effectiveand feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented byapplying the central symmetric encode principle on the fused component images acquired from the waveletdecomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) togain robust deep features of face images under severe illumination conditions. Abundant experiments withdifferent test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain faceimages under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBPcombined with DBN, our proposed method achieves the most satisfying recognition rate regardless of thedatabase used, the test scheme adopted or the illumination condition encountered, especially for the facerecognition under severe illumination variation.
참고문헌 (26)
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