Multimodal Biometric System: A Comparative Study of Different Traits

Autor: Oyelakun T. A, Agbaje,M. O, Akande O, Izang, A. A.
Jazyk: angličtina
Rok vydání: 2022
Předmět:
ISSN: 2249-6645
DOI: 10.5281/zenodo.6322341
Popis: The security architecture is changing with the weakening of password system as the only authentication means of gaining access to websites and other important systems online or offline. Biometric authentication is gaining grounds in its use for authentication and identification. This paper did a comparative study of different traits for multimodal biometric system.
{"references":["Basma, A., Bouden, T., Amira-Biad, S. (2017). Multimodal Biometric Identification System Based on the Face and Iris. 5th International Conference on Electrical Engineering - Boumerdes, ICEE-B 2017 2017- Janua:1–17. doi: 10.1109/ICEEB. 2017.8191981.","Benaliouche, H., & Touahria, M. (2014). Comparative study of multimodal biometric recognition by fusion of iris and fingerprint. The Scientific World Journal, 2014.","Choudhary, J. (2012). Survey of different biometrics techniques. International Journal of Modern Engineering Research (IJMER), ISSN, 2249-6645.","Komal, Kant.C. (2020). A Novel Multimodal Biometric System Using Face and Fkp. International Journal of Advanced Trends in Computer Science and Engineering 9(4):4496– 4502.","Kumar, S., & Ratnesh, N. A. (2016). A Review on Different Biometric Techniques: Single and Combinational. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE). DOI, 10, 2834-1104012530..","Kumar, S., & Walia, E. (2011). Analysis of various biometric techniques. International Journal of Computer Science and Information Technologies, 2(4), 1595-1597.","Leng, W. Y., Shamsuddin, S. M., & Sulaiman, S. (2020, July). Enhancement of Individuality Representation for Multi-Biometric Identification. In IOP Conference Series: Materials Science and Engineering (Vol. 884, No. 1, p. 012061). IOP Publishing.","Mansoura, L., Noureddine, A., Assas, O., & Yassine, A. (2019, April). Biometric recognition by multimodal face and iris using FFT and SVD methods With Adaptive Score Normalization. In 2019 4th World Conference on Complex Systems (WCCS) (pp. 1-5). IEEE.","Mohsin, A. H., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Ariffin, S. A. B., Alemran, A., ... & Garfan, S. (2020). Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures. Ieee Access, 8, 9821- 9845.","Oyeniyi, J., & Oyeniran, O. (2020). Bimodal Biometric Recognition System Based On Score Level Fusion. International Journal of Engineering and Artificial Intelligence, 1(4), 71-76."]}
Databáze: OpenAIRE
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