DWSCNN Online Signature Verification Algorithm Based on CAE-MV Feature Dimensionality Reduction

In recent years, with the rapid advancements in deep learning technologies, particularly deep neural networks, signature verification has seen significant improvements in accuracy. Despite the significant progress made in using deep learning technologies, there remains several challenges that affect...

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Vydáno v:	IEEE access Ročník 12; s. 22144 - 22157
Hlavní autoři:	Zheng, Jianbin, Chen, Ziyao, Huang, Liping, Gao, Yifan, Yu, Xiangxiang, Wang, Hui, Yang, Jiamei, Wang, Yu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Artificial neural networks Classification algorithms convolutional autoencoder-model verification Convolutional neural networks Deep learning depth-wise separable convolution neural network Feature extraction Forgery Handwritten signature verification Machine learning Neural networks Online signature verification Reduction Rejection rate Run time (computers) Signatures Training
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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