Multimodal Biometrics for Human Identification using Artificial Intelligence

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Boda Aruna
Dr. M Kezia Joseph

Abstract

Multimodal biometric systems combine multiple biometric modalities to enhance the accuracy and security of human identification. Instead of relying on a single biometric trait (such as fingerprint or face), these systems use a combination of different biometric characteristics to provide a more robust and reliable identification process. The key idea behind multimodal biometrics is that the fusion of diverse biometric data can overcome the limitations of individual modalities, resulting in higher accuracy and lower error rates.

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Multimodal Biometrics for Human Identification using Artificial Intelligence (Boda Aruna & Dr. M Kezia Joseph , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(1), 1-2. https://doi.org/10.35940/ijese.A4278.1212123
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Multimodal Biometrics for Human Identification using Artificial Intelligence (Boda Aruna & Dr. M Kezia Joseph , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(1), 1-2. https://doi.org/10.35940/ijese.A4278.1212123
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