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Explainable Biometrics in the Age of Deep Learning. (arXiv:2208.09500v1 [cs.CV])
Aug. 23, 2022, 1:15 a.m. | Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana F. Sequeira, Arun Ross, Jaime S. Cardoso
cs.CV updates on arXiv.org arxiv.org
Systems capable of analyzing and quantifying human physical or behavioral
traits, known as biometrics systems, are growing in use and application
variability. Since its evolution from handcrafted features and traditional
machine learning to deep learning and automatic feature extraction, the
performance of biometric systems increased to outstanding values. Nonetheless,
the cost of this fast progression is still not understood. Due to its opacity,
deep neural networks are difficult to understand and analyze, hence, hidden
capacities or decisions motivated by the …
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