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Improving Face Recognition by Online Image Alignment

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3 Author(s)
Peng Wang ; Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY ; Lam Cam Tran ; Qiang Ji

Face recognition accuracy is affected by many factors. This paper studies one of the factors, and provides a reliable image alignment for face recognition. For this purpose, a performance metric is extracted from an analysis of face recognition similarity scores. The metric varies with face alignment, and has a relationship with the actual recognition accuracy. Our method adjusts face alignment online by selecting an alignment candidate corresponding to the largest performance metric. The experimental results show that the presented method can improve the accuracy and robustness of current face recognition systems

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:1 )

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