Monday, 04 Dec, 2023




A Palm Vein Pattern Recognition using Modified Partition Local Binary Pattern Extraction Method

International Journal of Emerging Trends in Science and Technology

Volume 8 Issue 1

Published: 2022
Author(s) Name: Balraj E. and Sujatha R. | Author(s) Affiliation: M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India.
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Biometric is the mechanism to measure the physical and behavioral traits of every individual human being that is used to authenticate the person is genuine or imposter. Palm Vein Recognition is one of the efficient technique which is used to authenticate the person. Instead of using ID cards, Passwords, palm vein patterns can be used which is very unique for all the individual person that provide authentication to access the resources. In this proposed framework, Modified Partition Local Binary Patterns (MPLBP) method is used to extract the features of palm vein image which is used to improve the accuracy and also it uses ROI Extracted feature mechanism to enhance the quality of image in better way. Our Proposed framework tested using a CASIA Multi-Spectral Palm Print Image Dataset which is having 100 people sample of 7200 palm vein images. The system was measured using EER.

Keywords: PVR, Biometric authentication, MPLBP, ROI, Binarization, Thinning

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