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Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset

Zeng, XX; Wang, XD; Chen, KR; Li, D; Zhang, Y; Lam, KM

Li, D (corresponding author), Guangdong Univ Technol, Automat, Guangzhou 510000, Guangdong, Peoples R China.

PATTERN RECOGNITION LETTERS, 2020; 129 (): 247

Abstract

Similar to fingerprints and irises, pore-scale facial features can be used to distinguish human identities effectively. However, without pore-to-pore ......

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