Biometric Security: Palm Vein Recognition Using Lbp and Sift
Pooja1, Vinay Bhatia2
1Pooja , Asstt. Professor in Bells Institute of Management And Technology Shimla India.
2Vinay Bhatia, Professor in Department of Electronics and Communication Engineering at Chandigarh University, Landra.
Manuscript received on 23 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 2374-2380 | Volume-8 Issue-11, September 2019. | Retrieval Number: J93700881019/2019©BEIESP | DOI: 10.35940/ijitee.J9370.0981119
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Abstract: Palm vein recognition is an unique vascular recognition technique used for identification of individual. Palm vein recognition offer high degrees of security as vein are inside the skin so therefore difficult to forge. Palm vein pattern are unique for any individual so this can also be used to grant access to the user instead of using passwords, identification cards etc. In this paper we have used the combination of pixel wise Local Binary Pattern (LBP) and Scale Invariant Feature Transform (SIFT) technique to extract the palm vein features to improve the accuracy. In this paper the authors have presented a systematic comparison of some of previous palm vein recognition techniques with a novel technique proposed based on PolyU database. Evaluation of improvement in performance for recognition and verification process has been carried out and thereafter an elaborate analysis has been done on the effect of the size of enrolment. Simulation results depict an improvement of recognition rate and false acceptance rate. Implementation of the proposed method has been carried out using Image Processing Toolbox under MATLAB software.
Keywords: Biometric, hand biometric, multispectral palm print, palm vein recognition, personal identification.
Scope of the Article: Pattern Recognition