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What is Multimodal Biometric Recognition System about?

The document proposes a deep learning approach for a multimodal biometric recognition system using face, iris, and finger vein patterns. It aims to develop a new multimodal identification model combining unimodal models for iris, face, and a new finger vein model. The proposed system architecture is based on convolutional neural networks and will be evaluated on the SDUMLA-HMT dataset. Hardware requirements include an Intel i3/i5 processor and 2GB RAM, while software requirements involve Python and Matlab.

Author

518Challa Lakshmi Prasanna

Language

EN