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Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested Residual Network. (arXiv:2212.05884v1 [cs.CV])
Dec. 13, 2022, 2:10 a.m. | Raghavendra Ramachandra, Hailin Li
cs.CR updates on arXiv.org arxiv.org
Fingerphoto images captured using a smartphone are successfully used to
verify the individuals that have enabled several applications. This work
presents a novel algorithm for fingerphoto verification using a nested residual
block: Finger-NestNet. The proposed Finger-NestNet architecture is designed
with three consecutive convolution blocks followed by a series of nested
residual blocks to achieve reliable fingerphoto verification. This paper also
presents the interpretability of the proposed method using four different
visualization techniques that can shed light on the critical regions …
More from arxiv.org / cs.CR updates on arXiv.org
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