Adaptive Face Recognition System from Myanmar NRC Card | Zendy

Ei Phyo Wai | Zendy; Myint Myint Sein | Zendy

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Adaptive Face Recognition System from Myanmar NRC Card

Author(s) -

Ei Phyo Wai,

Myint Myint Sein

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/3117-4285

Subject(s) - computer science , face (sociological concept) , facial recognition system , computer security , artificial intelligence , pattern recognition (psychology) , social science , sociology

Biometrics is used for human recognition which consists of identification and verification. Identification applications are common when the goal is to identify criminals, terrorists, or other particularly through surveillance. Also, faces are integral to human interaction. Manual facial recognition is already used in everyday authentication applications. This paper focused on identification of personal information from National Registration Card and providing the information of NRC holder. Therefore there is no such face recognition system from low quality image of NRC card. Experimental results show a high recognition rate equal to 99.8% which demonstrated an improvement in comparison with previous methods using PCA.

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