An Improved Face Recognition Algorithm Based on SIFT and LBP

Abstract:

A new face image feature extraction and recognition algorithm based on Scale Invariant Feature Transform (SIFT) and Local Linary Patterns (LBP) is proposed in this paper. Firstly, a set of keypoints are extracted from images by using the SIFT algorithm; Secondly, each keypoint is described by LBP patterns; Finally, a combination of the global and local similarity is adopted to calculate the matching results for face images. Calculation results show that the algorithm can reduce the matching dimension of feature points, improve the recognition rate and perspective; it has nice robustness against the interferences such as rotation, lighting and expression.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1999-2004
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1999
• Online since: September 2013
• Authors: Huai Ming Yang*, Jin Guang Sun
• Keywords: Face Recognition, LBP, Reduce Dimensionality, SIFT

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