Authentication Based on Finger Vein Recognition Using Neuro-Fuzzy Technique
| dc.category | Journal Article | |
| dc.contributor.author | Vasantha Kalyani David | |
| dc.date.accessioned | 2017-03-29T23:09:17Z | |
| dc.date.available | 2017-03-29T23:09:17Z | |
| dc.date.issued | 2015 | |
| dc.department | Computer Science | en_US |
| dc.description.abstract | vlany computational problems are achieved by Artificial ntelligence which is based on mathematical equations and irtifid-'i neurons. The main focus is on the implementation of Inge in recognition for personal authentication. Basically he finger vein patterns are captured by a device that can ransmit near infrared through the finger and record the jatterns. The proposed biometric system for verification lonsist of a combination of feature extraction using Genetic Principal Component Analysis(GPCA) technique to obtain the iptimized features and pattern classification using Neuromzzy technique which is a learning algorithm. To verify the Tfect of the proposed Neuro fuzzy system in the pattern ilassification, the Back Propagation Network(BPN) is lompared with the proposed system. The experimental results ndicated the proposed system using Neuro fuzzy has better rerformance than the BPN for personal identification using he finger-vein patterns. This paper shows the finger vein ramework with the parameter of false acceptance rate (FAR), alse rejection rate (FRR) and total execution time for the lystem. | en_US |
| dc.identifier.uri | https://ir.avinuty.ac.in/handle/avu/2320 | |
| dc.lang | English | en_US |
| dc.publisher.name | International Journal of Applied Engineering Research | en_US |
| dc.publisher.type | International | en_US |
| dc.title | Authentication Based on Finger Vein Recognition Using Neuro-Fuzzy Technique | en_US |
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