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Multi-Modal Biometrics Human Verification Using LDA and DFB
Aloysius George
Pages - 1 - 10 | Revised - 15-8-2008 | Published - 15-11-2008
MORE INFORMATION
KEYWORDS
Biometrics, Multimodal, Face, Fingerprint, Linear Discriminant Analysis, Artificial Neural Network.
ABSTRACT
Biometrics is one of the recent trends in security, which is mainly used for
verification and recognition systems. By using biometrics we confirm a person’s
claimed identity based on particular person’s physiological or behavioral
characteristics such as fingerprint, face or voice etc. This is the extension work of
my previous two papers, which tries to overcome the difficulties of single
modality. These limitations are addressed by multi-modal biometric verification
system as explained in our previous paper. We have chosen existing
methodologies like Facial and Finger Print verification modals, ANN to be
combined for verification. In this we use Linear Discriminant analysis (LDA) for
face recognition and Directional filter bank (DFB) for fingerprint matching. Based
on experimental results, the proposed system can reduce FAR down to
0.0000121%, which proves that the proposed method overcomes the limitation of
single biometric system and proves stable personal verification in real-time.
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Mr. Aloysius George
CEO/Griantek - India
aloysius_g@griantek.com
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