Authentications of Myanmar National Registration Card | Zendy

Myint Myint Sein | Zendy; Zin Mar Win | Zendy; Ei Phyo Wai | Zendy

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Authentications of Myanmar National Registration Card

Author(s) -

Myint Myint Sein,

Zin Mar Win,

Ei Phyo Wai

Publication year - 2013

Publication title -

indonesian journal of electrical engineering and informatics (ijeei)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.168

H-Index - 8

ISSN - 2089-3272

DOI - 10.11591/ijeei.v1i2.68

Subject(s) - artificial intelligence , facial recognition system , pattern recognition (psychology) , computer vision , computer science , fingerprint (computing) , principal component analysis , fingerprint recognition , k nearest neighbors algorithm , euclidean distance , diagonal , classifier (uml) , mathematics , geometry

The automatic identification system of Myanmar national registration card (NRC) holder is presented in this paper. The proposed system can be handled the identification by the extracted low quality face image and fingerprint image from Myanmar NRC. Both of the facial recognition and fingerprint recognition system are developed for Myanmar citizenship confirmation. Age invariant face recognition algorithm is performed based on combination of DiaPCA (Diagonal principal Component Analysis) and KNN (K th nearest neighbor classifier) approaches. An algorithm of the fingerprint recognition is proposed for recognition of the poor quality fingerprint image with fabric background. Several experiments have been done for confirming the effectiveness of the proposed approach.

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