Low Cost Palm Vein Recognition using Near Infrared Light and NOIR Camera using Raspberry Pi |
Author(s): |
| Priya D. Dhabarde , G.H. Raisoni College Of Engineering & Technology For Women Nagpur; Prof. kamal S. Kashyap, G.H. Raisoni College Of Engineering & Technology For Women Nagpur |
Keywords: |
| False Rejection Rate (FRR), False Acceptance Rate (FAR), Blood Vessel, Palm vein, Near Infrared Light, NOIR, Raspberry Pi, Tensorflow, openCV |
Abstract |
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Palm vein recognition is type of biometric recognition, which offer highest security among other methods available in market. This paper presents review of a palm vein recognition method that uses exposing palm to near infrared light and capturing palm vein pattern. The veins are least probable to counter faked as these are internal organs compared to other biometric method which depends on external human features. Implementation of system with low cost and readily available parts are researched and implemented to find accuracy. Database is created for training and tested with test data using the same system. Experimental results provided satisfactory result and performance despite having low cost of implementation. |
Other Details |
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Paper ID: IJSRDV7I40667 Published in: Volume : 7, Issue : 4 Publication Date: 01/07/2019 Page(s): 1275-1277 |
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