Design and development of fusion-based expert system for multimodal biometric recognition with facemask authentication
by Arindam Mondal; Sahadev Roy
International Journal of System of Systems Engineering (IJSSE), Vol. 13, No. 2, 2023

Abstract: A multimodal biometric system can be processed on more than one biometric feature and make the authentication process more impactful in comparison with the traditional identification system. Here in this paper, with the help of discrete cosine transformation (DCT), Hough transformation technique, and discrete wavelet transformation (DWT) we have designed a decision-level fusion-based authentication. In our proposed authentication model, the system will take the face, ear, and iris images individually and doing DCT, DWT, and Hough transformation, finally apply decision level fusion for the biometric features extraction. Our proposed system has more authentication capability due to iris authentication features, which cannot be easily tampered with. This experimental process clearly shows that the proposed multimodal systems have more efficiency, reliability, and are more robust than other existing biometric multimodal systems and are able to authenticate with or without wearing a surgical face mask, useful for hazardous and contaminated environments.

Online publication date: Thu, 01-Jun-2023

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