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Machine Learning Based Robust Access for Multimodal Biometric Recognition
2020
International journal of recent technology and engineering
For organizations requiring high security clearance, multimodal sources of biometric scans are preferred. Computational models for the unimodal biometric scans have so far been well recognized but research into multimodal scans and their models have been gaining momentum recently. For every biometric we used separately feature extraction techniques and we combined those features in efficient way to get robust combination. In this paper, a novel method for fusion of the scan images from the
doi:10.35940/ijrte.f2374.018520
fatcat:oav7tky7ujedzkf275lrvdxkxe