Face, Fingerprint, and Signature based Multimodal Biometric System using Score Level and Decision Level Fusion Approaches-Reference-Cited by-同舟云学术

Face, Fingerprint, and Signature based Multimodal Biometric System using Score Level and Decision Level Fusion Approaches

Published:2023-06-13 Issue: Volume: Page:1-20
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Kazi Majharoddin¹,Kale Karbhari²,Mehsen Raddam Sami³,Mane Arjun⁴,Humbe Vikas⁵,Rode Yogesh⁶,Dabhade Siddharth⁷,Bansod Nagsen⁸,Razvi Arshad⁹,Deshmukh Prapti¹⁰

Affiliation:

1. Department of Computer Science, S. M. D. Mohekar Mahavidyalaya, Kalamb, India

2. Dr. Babasaheb Ambedkar Technological University, Lonere, India

3. Middle Technical University, Technical Institute of Baqubah, Baghdad, Iraq

4. Government Institute of Forensic Science, Nagpur, India

5. School of Technology, S. R. T. M. University, Nanded, India

6. Department of Computer Science, Jijamata Mahavidyalaya, Buldana, India

7. Department of Computer Science, National Forensic Sciences University, Ahmedabad, Gujarat, India

8. Department of Computer Science, Dr. G. Y. Pathrikar College of Computer Science and Information Technology, MGM University, Aurangabad, Maharashtra, India

9. Bill Gates Institute of Computer Science and Management, Osmanabad, Maharashtra, India

10. Dr. G. Y. Pathrikar College of Computer Science and Information Technology, MGM University, Aurangabad, Maharashtra, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2217784

Reference48 articles.

1. Hardware-Based Computer Security Techniques to Defeat Hackers: From Biometrics to Quantum Cryptography

2. A. V. Mane. 2010 Development of human face recognition technique for digital rights management based on principal component analysis (PCA) Doctoral dissertation.

3. V. M. Arjun, M. M. Kazi, R. R. Manza, and K. V. Kale. 2010. “Human face recognition using superior principal component analysis (SPCA)”, International Symposium on Computer Engineering and Technology (ISCET), RIMT – IET, Mandi Gobindgarh, 2010 Proceedings of ISCET 2010 ISBN: 978-81-910304-0-2.

4. Statistical Methods in Counterterrorism

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