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- W2521758899 abstract "Automatic Face Recognition and Surveillance helps providing a secure system for next generation. The critical technology used for this purpose is pretty poor, but it is slowly improving. In this paper, we are making a comparison on ADABOOST, PCA, LDA, Elastic Bunch Graph Matching algorithms for face recognition on the basis of origin, success rate, Eigen values, and vector score as output of an image. Further study from above said algorithms, it is clear to state that significant result is least expected to perform well on small sample data." @default.
- W2521758899 created "2016-09-30" @default.
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- W2521758899 date "2017-09-29" @default.
- W2521758899 modified "2023-09-24" @default.
- W2521758899 title "A Comparative Study on Face Detection Techniques for Security Surveillance" @default.
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- W2521758899 doi "https://doi.org/10.1007/978-981-10-3773-3_52" @default.
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