Evaluation of Fusion Based Biometric Recognition
Author:
Affiliation:
1. Research Scholar, G. S. Mandal’s, M.I.T, Aurangabad Maharashtra, India
2. Principal , Government College of Engineering , Jalgaon Maharashtra, India
3. Assistant Professor, G. S. Mandal’s, M.I.T, Aurangabad Maharashtra, India
Abstract
Publisher
Technoscience Academy
Subject
General Medicine
Reference47 articles.
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2. Hamd, Muthana H., and Marwa Y. Mohammed. "Multimodal Biometric System based Face-Iris Feature Level Fusion." Int. J. Mod. Educ. Comput. Sci 11, no. 5 (2019): 1-9.
3. Walia, G. S., Singh, T., Singh, K., & Verma, N. (2019). Robust multimodal biometric system based on optimal score level fusion model. Expert Systems with Applications, 116, 364-376.
4. Dandawate, Yogesh H., and Sajeeda R. Inamdar. "Fusion based multimodal biometric cryptosystem." In Industrial Instrumentation and Control (ICIC), 2015 International Conference on, pp. 1484-1489. IEEE, 2015.
5. Kihal, Nassima, Salim Chitroub, and Jean Meunier. "Fusion of iris and palmprint for multimodal biometric authentication." In Image Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on, pp. 1-6. IEEE, 2014.
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1. A Multimodal Face and Fingerprint Authentication System Using Fuzzy Set Exponential Water Wave Optimization;Journal of The Institution of Engineers (India): Series B;2024-05-28
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