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Title
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Comparing Face Recognition Technologies
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Author
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Sachin D. Ruikar, HulleRohit Rajiv
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Citation |
Vol. 14 No. 5 pp. 68-72
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Abstract
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An automated system for human face recognition in a real time background world for a large homemade dataset of persons face. There is overview and different steps of face recognition. Because the face system is totally non-intrusive, thus without bothering the user in any way it can therefore make an existing security system more effective. To detect real time human face AdaBoost is used and a 2DFLD is used to recognize the faces detected. The 2DFLD is used to select an optimal subset of features that gives a better accuracy results in solving the face recognition problem. This approach is compared with the AdaBoost plus standard PCA
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Keywords
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Face recognition, Eigenface, AdaBoost, Haar Cascade Classifier, Principal Component Analysis (PCA), two-dimensional fisher¡¯s linear discriminate (2DFLD)
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URL
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http://paper.ijcsns.org/07_book/201405/20140512.pdf
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