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  Published Paper Details:

  Paper Title

FINGER VEINAUTHENTICATION SYSTEM USING DEEPLEARNING IN ALEXNET ALGORITHM

  Authors

  S.R.Noble Lourdhu Raj,  K.Varalakshmi,  B.Priya,  S.S.Vasantha Raja,  C.Kalaiarasi

  Keywords

Finger vein image authentication, deep learning, Convolutional neural network, Vein- based authentication

  Abstract


Vascular-based biometrics is increasing in importance due to their accuracy and security. Finger vein- basedbiometric systems elegantly solve the problems associated with fingerprint systems. The vein-based authentication system is a promising biometric model for personal identification in terms ofits security and ease of use. Vein patterns can only be taken from a living body. Therefore, it is natural and conclusive evidence that a subject whose veins have been successfully struck is alive. The finger vein detection technique was improved using a neighborhood elimination technique to reduce repetitive features in the removed finger vein-specific image. The neighborhood elimination technique is used to remove redundant data while retaining effective raw data for subsequent processing.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309353

  Paper ID - 243188

  Page Number(s) - d27-d34

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S.R.Noble Lourdhu Raj,  K.Varalakshmi,  B.Priya,  S.S.Vasantha Raja,  C.Kalaiarasi,   "FINGER VEINAUTHENTICATION SYSTEM USING DEEPLEARNING IN ALEXNET ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.d27-d34, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309353.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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