Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)

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Biometric Recognition using Fingerprint and Finger Vein

Authors
S. V. Deepan Avinaas1, B. Sai Sudharshan1, M. Rishwanth1, U. Sujith1, G. Anitha1, *
1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Vengal, Chennai, 601103, Tamil Nadu, India
*Corresponding author. Email: anitha@ch.amrita.edu
Corresponding Author
G. Anitha
Available Online 16 June 2025.
DOI
10.2991/978-94-6463-762-5_5How to use a DOI?
Keywords
Multimodal biometric system; Fingerprint; Finger vein; Identity verification; Recognition accuracy
Abstract

The proposed novel biometric recognition system uses ingerprint and inger vein biometrics to improve identity veriication systems’ accuracy, reliability, and security. Here, we performed both the ingerprint and inger vein separately to develop a robust recognition system, as these two biometric traits permits us to circumvent the limitation that was associated with each of these modalities individually. The system extracts feature from the modalities using advanced feature extraction algorithms and then uses them these features to produce a more holistic and accurate biometric signature. We have shown experimentally that the proposed biometric system greatly surpasses its unimodal counterparts in terms of recognition accuracy, and even more in dificult conditions such as dirty or damaged ingerprints. Combining the strengths of ingerprint and inger-vein biometrics, this system provides a high reliability and practical solution for the recognition of any of these characteristics with improvement in performance across various real-world scenarios.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
Series
Advances in Engineering Research
Publication Date
16 June 2025
ISBN
978-94-6463-762-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-762-5_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. V. Deepan Avinaas
AU  - B. Sai Sudharshan
AU  - M. Rishwanth
AU  - U. Sujith
AU  - G. Anitha
PY  - 2025
DA  - 2025/06/16
TI  - Biometric Recognition using Fingerprint and Finger Vein
BT  - Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
PB  - Atlantis Press
SP  - 40
EP  - 50
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-762-5_5
DO  - 10.2991/978-94-6463-762-5_5
ID  - Avinaas2025
ER  -