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2012 (Vol. 4, Issue: 17)
Article Information:

Face Recognition Based on Facial Features

Muhammad Sharif, Muhammad Younas Javed and Sajjad Mohsin
Corresponding Author:  Muhammad Sharif 

Key words:  Detection, eigenfeatures, face, fisherfeatures, recognition, segmentation, ,
Vol. 4 , (17): 2879-2886
Submitted Accepted Published
November 25, 2011 January 13, 2012 September 01, 2012
Abstract:

Commencing from the last decade several different methods have been planned and developed in the prospect of face recognition that is one of the chief stimulating zone in the area of image processing. Face recognitions processes have various applications in the prospect of security systems and crime investigation systems. The study is basically comprised of three phases, i.e., face detection, facial features extraction and face recognition. The first phase is the face detection process where region of interest i.e., features region is extracted. The 2nd phase is features extraction. Here face features i.e., eyes, nose and lips are extracted out commencing the extracted face area. The last module is the face recognition phase which makes use of the extracted left eye for the recognition purpose by combining features of Eigenfeatures and Fisherfeatures.
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  Cite this Reference:
Muhammad Sharif, Muhammad Younas Javed and Sajjad Mohsin, 2012. Face Recognition Based on Facial Features.  Research Journal of Applied Sciences, Engineering and Technology, 4(17): 2879-2886.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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