Face Recognition Algorithm Based on Kernel Collaborative Representation

Liang Zhang; Ji Wen  Dong

doi:10.4028/www.scientific.net/AMR.756-759.3590

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Face Recognition Algorithm Based on Kernel...

Face Recognition Algorithm Based on Kernel Collaborative Representation

Abstract:

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting faces nonlinear structures features, the decisive factor. Considering the collaboration among the samples, the CRC which synthetically consider the relationship among samples is used. Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency. The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3590-3595

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3590

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Online since:

September 2013

Authors:

Liang Zhang, Ji Wen Dong

Keywords:

CRC, Face Recognition, Illumination Problem, KPCA, Occlusion Problem

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