vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff4f312c0000008fea0a0001000500 In this paper, we develop a liveness detection of iris present in the study to reduce various spoofing attacks using gray-level co-occurrence matrix (GLCM) and Deep Learning (DL). The input images of iris are been given to this technique for the extraction of texture and colour features with fine details. The details are fused finally and given to a DL classifier for the classification of liveness detection. The simulation is conducted to test the efficacy of the model and the results of simulation shows that the proposed method achieves higher level of accuracy than existing methods.
M Ramkumar1,V Amirtha Preeya2,R Manikandan3, T Karthikeyan4
HKBK College of Engineering, India1,Presidency University, India2, The Quaide Milleth College for Men, India3, University of Technology and Applied Sciences, Oman4
Iris Detection, Pattern Identification, Liveness Detection, Biometric, Deep Learning
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 12 , Issue: 2 , Pages: 2610-2614 )
Date of Publication :
November 2021
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