Face recognition method based on SVM and SRC

Chongyang Gao; Hongjuan Zhu; Lihua Liao

doi:10.1117/12.2539669

14 August 2019 Face recognition method based on SVM and SRC

Chongyang Gao, Hongjuan Zhu, Lihua Liao

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111791Q (2019) https://doi.org/10.1117/12.2539669
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

For face recognition with global features, Support Vector Machines (SVM) and Sparse Representation Classification (SRC) are two methods which are difficult to take into account the recognition effect and efficiency when used alone. Based on the study of the two methods, this paper proposes a global linear face recognition method which combines Support Vector Machines and Sparse Representation Classification. On account of the recognition error of SVM, Sparse representation model is solved by Augmented Lagrange Multiplier method and the second recognition is carried out. In addition, the results on YALE show that this method can significantly improve the accuracy and speed of recognition.

Citation Download Citation

Chongyang Gao, Hongjuan Zhu, and Lihua Liao "Face recognition method based on SVM and SRC", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111791Q (14 August 2019); https://doi.org/10.1117/12.2539669

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