Abstract

New Intuition on Ear Authentication with Gabor Filter Using Fuzzy Vault

Highlights

  • In the present day scenario, the booming demand in case for both Security and automated recognition system leads to radical research resolution in the various areas of Computer Vision and Intelligent systems

  • Biometrics is considered as a significant application of forensics, Surveillance examination which assigns to the technique of diagnosing the Humans by utilizing their physical or behavioral traits along with faces, Iris, Fingerprint, Ear, Palm print, FKP, voice, and signature

  • The consequences of the designed biometric method for the recognition of Ear modalities utilizing Fuzzy Vault are contended with detailed manner in this work

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Summary

INTRODUCTION

In the present day scenario, the booming demand in case for both Security and automated recognition system leads to radical research resolution in the various areas of Computer Vision and Intelligent systems. Biometrics is considered as a significant application of forensics, Surveillance examination which assigns to the technique of diagnosing the Humans by utilizing their physical or behavioral traits along with faces, Iris, Fingerprint, Ear, Palm print, FKP, voice, and signature These features can be treated as Biometric diagnostic features with satisfaction of requirements: (i)Universality, (ii)Distinctiveness, (iii)Permanence, (iv)Performance, (v)Collectability, (vi) Acceptability. The optimal location of these feature vectors is basically created by the fitness value as well as the development of security enhancement with the help of multi-biometric systems by means of the proposed modified template of Log Gabor Features XOR pattern. They include Fingerprints, Handprints, Palm prints, Hand veins, Eyes, Ears, Voice, and signature.

SYNOPSIS OF THE PROPOSED WORK
EXPERIMENTAL RESULTS AND PERFORMANCE EVALUATION
Experimental Results
CONCLUSION
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