Face Recognition Based On Facial Landmarks

Adil Sarsenov,Konstantin Latuta

2017 11TH IEEE INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT 2017)(2017)

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Abstract
These days exists a lot of different approaches for face recognition. In this paper presented one of the traditional approaches with steps which are basis for face recognition. Method used for face recognition includes four steps, which are face detection, head position estimation, features extraction and testing classifier. Automatic detection of face and facial landmarks is very crucial in this method because of the ratio distances between these landmarks used as features for classifier. All the paper long, one by one presented each of four steps. In experiments on a small face database, evaluated accuracy of the method.
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Key words
Face Detection, Face Recognition, Facial Landmarks, Support Vector Machines
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