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

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Published May 11, 2020

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

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

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.

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.

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

How to Cite

[1]

Dr. Vinayak A. Bharadi, Ms. Purva P. Ghag, Ms. Sukanya R. Chavan, and Ms. Shivani S. Gawas, “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.