Fingerprint pattern identification and classification approach based on convolutional neural networks

Fingerprint pattern recognition and classification can be of assistance in the research on human personality. In some previous studies, fingerprints were classified into four categories to speed up recognition, but the method of that classification is not suitable for researching the diversity of hu...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural computing & applications Jg. 32; H. 10; S. 5725 - 5734
Hauptverfasser:	Wu, Fan, Zhu, Juelin, Guo, Xiaomeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2020 Springer Nature B.V
Schlagworte:	Accuracy Advances in Parallel and Distributed Computing for Neural Computing Artificial Intelligence Artificial neural networks Biometric recognition systems Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Feature extraction Feature recognition Fingerprinting Fingerprints Image Processing and Computer Vision Model accuracy Neural networks Pattern recognition Personality Probability and Statistics in Computer Science Pattern feature Fingerprint Identification Convolutional neural network
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!