An Overview of Deep Learning Techniques for Biometric Systems-Reference-Cited by-同舟云学术

An Overview of Deep Learning Techniques for Biometric Systems

Published:2020-09-01 Issue: Volume: Page:127-170
ISSN:1860-949X
Container-title:Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
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Author:

Almabdy Soad M.,Elrefaei Lamiaa A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-51920-9_8

Reference128 articles.

1. L. Deng, D. Yu, Deep learning: methods and applications. Found. Trends® Signal Process. 7(3–4), pp. 197–387 (2014)

2. D. Ciresan, U. Meier, J. Schmidhuber, Multi-column deep neural networks for image classification, in Cvpr (2012), pp. 3642–3649

3. Y. LeCun, Y. Bengio, G. Hinton, Deep learning. Nature 521(7553), 436–444 (2015)

4. H. Al-Assam, H. Sellahewa, Deep Learning—the new kid in artificial intelligence news biometrics institute (2017). Online Available: http://www.biometricsinstitute.org/news.php/220/deep-learning-the-new-kid-in-artificial-intelligence?COLLCC=3945508322& . Accessed 06 Apr 2019

5. T. Mikolov, I. Sutskever, K. Chen, G.S. Corrado, J. Dean, Distributed representations of words and phrases and their compositionality. Adv. Neural Inf. Process. Syst. 3111–3119 (2013)

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