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Face identification using local and global features | IEEE Conference Publication | IEEE Xplore

Face identification using local and global features


Abstract:

Extract facial feature is considered as the most important step in face recognition systems. Several researches have been made to improve facial feature extraction techni...Show More

Abstract:

Extract facial feature is considered as the most important step in face recognition systems. Several researches have been made to improve facial feature extraction techniques. This paper proposes hybrid global and local feature based on Gabor filter bank and double coding local binary pattern (LBP). The proposed features are concatenated and reduced using generalized discriminant analysis (GDA). The matching step is then performed using Euclidian distance. Performances evaluation of face identification system is carried out using ORL and FERET databases, and the experimental results shown the high recognition rate of the proposed system.
Date of Conference: 05-07 July 2017
Date Added to IEEE Xplore: 23 October 2017
ISBN Information:
Conference Location: Barcelona, Spain

References

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