NDLI: Face recognition using facial symmetry

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Face recognition using facial symmetry

Content Provider	ACM Digital Library
Author	Nandi, G. C. Singh, Avinash Kumar
Abstract	Face is the most frequently used biometric trait after fingerprint. Its applicability made it popular in different areas such as Human Robot Interaction (HRI), Security Authentication, and Surveillance to name a few. Face recognition concept is based on two major blocks, training and testing. Usually training is done offline while testing is performed in real time scenario. As the size of the database increases, the recognition rate (time taken by system to recognize) increases. The rate of recognition is directly proportional to the size of the database and the dimension of the images. Human faces have the vertical symmetry; hence we utilized this feature and proposed a half way face recognition approach. Experimental verification on both the full faces and the half faces shows that half faces are also sufficient for recognizing the person. For verifying the efficiency of the approach, we have applied PCA (Principle Component Analysis) on both, the full faces and half faces, and have found that in both the cases, accuracy is almost same. But the recognition rate of half faces is just the half of the full faces.
Starting Page	550
Ending Page	554
Page Count	5
File Format	PDF
ISBN	9781450313100
DOI	10.1145/2393216.2393308
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Face recognition Facial symmetry Pca
Content Type	Text
Resource Type	Article

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