Comparative Study of Face Recognition Algorithm on Cohn-Kanade Database
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Review Papers | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015

Comparative Study of Face Recognition Algorithm on Cohn-Kanade Database

Radhika Sharma, Abhay Sharma

Distinctive machine learning routines are deliberately inspected on a number of databases. After having a lot research in this field, it is examined that LBP features are viable and productive for facial expression recognition. We further developed Boosted-LBP to concentrate the most discriminant LBP feature, and the best recognition performance is achieved by utilizing support Vector Machine classifiers with Boosted-LBP features. Also, we examine LBP features for low-determination facial expression recognition, which is a discriminating issue however occasional tended to in the existing work. We see in our investigations that LBP elements perform steadily and vigorously more than a valuable scope of low resolutions of face pictures, and yield promising outcome in compacted low-resolution video sequence caught in real world environment.

Keywords: Face recognition, dummy face, Cohn-kanade database, Adaboost, biometrics

Edition: Volume 4 Issue 6, June 2015

Pages: 2653 - 2656

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How to Cite this Article?

Radhika Sharma, Abhay Sharma, "Comparative Study of Face Recognition Algorithm on Cohn-Kanade Database", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB155925, Volume 4 Issue 6, June 2015, 2653 - 2656

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