PoreNet: CNN-Based Pore Descriptor for High-Resolution Fingerprint Recognition

With the development of high-resolution fingerprint scanners, high-resolution fingerprint-based biometric recognition has received increasing attention in recent years. This paper presents a pore feature-based approach for biometric recognition. Our approach employs a convolutional neural network (C...

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Veröffentlicht in:	IEEE sensors journal Jg. 20; H. 16; S. 9305 - 9313
Hauptverfasser:	Anand, Vijay, Kanhangad, Vivek
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Biometric recognition systems Biometrics Computational modeling convolutional neural network Convolutional neural networks cross-sensor fingerprints Datasets Euclidean geometry Feature extraction fingerprint recognition Fingerprint verification Fingerprinting High resolution High-resolution fingerprints Image detection Image recognition Learning Object recognition pore descriptor Scanners Sensor phenomena and characterization Training
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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