IMPLEMENTING BLOCKCHAIN TECHNOLOGY FOR MULTIMODAL BIOMETRIC SYSTEM USING ADAPTIVE FEATURE SET UPDATE ALGORITHM

Authors

  • Dr. Vinayak A. Bharadi Asst. Professor , Finolex academy of management and technology, Ratnagiri.
  • Ms. Purva P. Ghag, Student at Finolex academy of management and technology, Ratnagiri.
  • Ms. Sukanya R. Chavan Student at Finolex academy of management and technology, Ratnagiri.
  • Ms. Shivani S. Gawas Student at Finolex academy of management and technology, Ratnagiri.

DOI:

https://doi.org/10.17605/OSF.IO/J67BW

Keywords:

Blockchain technology, Hyperledger fabric, Smart Contract, Multimodal Biometric, AFSU algorithm, Docker.

Abstract

Multimodal biometric system is an important part of biometric system which is consist of multiple biometric traits for human identification. These biometric traits are varying as per ageing and some are unchanged. Therefore, combination of human biometric traits is used for better performance. These changes are identifying using adaptive feature set algorithm which will trigger when there updating is required. For security purpose we implementing Blockchain technology using Hyperledger fabric on Multimodal biometric system to track the entire system and reduced frauds. Once the transactions are recorded in the ledger then it is hard to modify or delete the record. Blockchain technology is unalterable.

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Published

2020-05-11

Issue

Vol. 5 No. Conference (2020): ICDSIIL-20

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

[1]
“IMPLEMENTING BLOCKCHAIN TECHNOLOGY FOR MULTIMODAL BIOMETRIC SYSTEM USING ADAPTIVE FEATURE SET UPDATE ALGORITHM”, IEJRD - International Multidisciplinary Journal, vol. 5, no. Conference, p. 8, May 2020, doi: 10.17605/OSF.IO/J67BW.

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