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Multi Bio-Metric Authentication using Finger Vein and Palm Print

Author(s):

Mr. S. Ilankumaran , K.L.N College of Engineering; T. D. Soniya Mai, K.L.N College of Engineering; S. Umamalini, K.L.N College of Engineering

Keywords:

NIR, CMOS Sensor, FRR

Abstract

Today world advances in the field of information technology also make information security an inseparable part of it. Bio-metric systems are widely used in access control and security based applications. To provide better security for all endorsement system we use modalities for biometric authentication to authenticate by finger vein and palm print. We capture finger vein using Near InfraRed (NIR) camera through light transmission methodologies, and we capture palm print using optical scanner that use CCD sensor and CMOS sensor. A small set of data of the images has been established for algorithm testing and evaluation. ROI segmentation is done for both Finger Vein (FV) image and Palm Print (PP) image separately, Normalization is done after segmentation. For the feature extraction, Competitive Matching Code (C2 code) is used. This authentication system is well suited for backing system when comparing with the other authentication system and it provides better result on EER, FRR (Equal Error Rate, False Rejection Rate) and Total Processing Time.

Other Details

Paper ID: IJSRDV7I10807
Published in: Volume : 7, Issue : 1
Publication Date: 01/04/2019
Page(s): 1692-1695

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