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Deep Learning for Palmprint Recognition in Biometrics

A survey of deep-learning methods across the palmprint-recognition pipeline: region-of-interest segmentation, learned feature extraction, verification and identification, and template security and privacy. Contrasts deep approaches with traditional handcrafted-feature methods and reviews datasets, evaluation protocols, and open challenges.