Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

Fingerprint recognition systems have been applied widely to adopt accurate and reliable biometric identification between individuals. Deep learning, especially Convolutional Neural Network (CNN) has made a tremendous success in the field of computer vision for pattern recognition. Several approaches...

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Veröffentlicht in:	IEEE access Jg. 9; S. 147888 - 147899
Hauptverfasser:	Saponara, Sergio, Elhanashi, Abdussalam, Zheng, Qinghe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks autoencoder Biometric recognition systems Computer vision convolution neural networks Convolutional neural networks Datasets Deep learning Feature extraction Filtering Fingerprint images Fingerprint recognition Fingerprint verification Image matching Image quality Image reconstruction Machine learning Neural networks Object recognition Pattern recognition system identification
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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