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Sparse representation for face recognition based on constraint sampling and face alignment. (English) Zbl 1299.68125

Summary: Sparse representation based classification (SRC) has emerged as a new paradigm for solving recognition problems. This paper presents a constraint sampling feature extraction method that improves the SRC recognition rate. The method combines texture and shape features to significantly improve the recognition rate. Tests show that the combined constraint sampling and facial alignment achieve very high recognition accuracy on both the AR face database (99.52%) and the CAS-PEAL face database (99.54%).

MSC:

68T10 Pattern recognition, speech recognition
68T45 Machine vision and scene understanding

Software:

CAS-PEAL; AR face
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