A Survey on Local Feature Based Face Recognition Methods

– Great progress has been achieved in face recognition. But it is still challenging to differentiate the people with similar appearance and to recognize the same person who has different appearance due to different facial expression, pose, occlusion, illumination and aging. This paper provides some of the local feature based methods that tackle these problems. The two main approaches of local feature analysis are LBP and Gabor wavelets. The extension of the LBP is LTP. The combination of both LBP and Gabor wavelets provide more discriminative information which improves the face recognition performance. Combining information from different domain is beneficial for FR. Two methods under this are GV LBP TOP and Effective GV LBP.Then MBC is provided which has much less time and space complexity than the widely used Gabor transformation methods. Then GOM, a promising solution to handle intra-class variation and inter-class similarity is provided. Extensive experiments on face image databases such as FERET demonstrate that GOM provides better recognition rate as compared to other