This project aims to implement cancelable multimodal template protection mechanisms for Aadhaar-enabled payments. It also explores homomorphic encryption for template protection. Using deep convolutional neural networks, it transforms and fuses biometric data for secure authentication. Additionally, dimensionality reduction techniques are applied to minimize feature vector size. Lastly, the project develops mobile and web applications tailored for differently abled individuals to initiate payments securely.
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