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Published in:
2014 | OriginalPaper | Chapter
Research of Improved Algorithm Based on LBP for Face Recognition
Authors : Mingxing Jia, Zhixian Zhang, Pengfei Song, Junqiang Du
Published in: Biometric Recognition
Publisher: Springer International Publishing
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Face recognition is one of the research hotspots in the area of computer vision and pattern recognition which has a wide application perspective. In this paper, a research on the classical Local Binary Pattern (LBP) is made and an improved algorithm named double-circle LBP is proposed, which can further enhance the rotation invariant characteristic of LBP. Since LBP descriptor based on the block has good recognition effect, this paper further proposed the strategy of "multiple blocks+middle block" in double-circle LBP descriptor, which can effectively solve the problem that the information around the original block line cannot be extracted completely. Finally, experiments are conducted on Orl, Yale and Extended YaleB face databaseds by comparing the recognition rate by using original LBP and its improved algorithms. The results show that double-circle LBP descriptor and "multiple -block+middle-block LBP descriptor can greatly improve the recognition rate.