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Biometric Signature Verification Using Recurrent Neural Networks. (arXiv:2205.02934v1 [cs.CV])
May 9, 2022, 1:10 a.m. | Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
cs.CV updates on arXiv.org arxiv.org
Architectures based on Recurrent Neural Networks (RNNs) have been
successfully applied to many different tasks such as speech or handwriting
recognition with state-of-the-art results. The main contribution of this work
is to analyse the feasibility of RNNs for on-line signature verification in
real practical scenarios. We have considered a system based on Long Short-Term
Memory (LSTM) with a Siamese architecture whose goal is to learn a similarity
metric from pairs of signatures. For the experimental work, the BiosecurID
database comprised …
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