Fingerprint classification based on continuous orientation field and singular points

Fingerprint classification is crucial to reduce the processing time in a large-scale database. In this paper a fingerprint classification based on continuous orientation field and singular points is proposed. The continuous orientation field can not only filter the noises in point directional image,...

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Bibliographische Detailangaben

Hauptverfasser:	Xiuyou Wang, Feng Wang, Jianzhong Fan, Jiwen Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification algorithms Computer networks Computer science Continuous orientation field Educational institutions Fingerprint classification Fingerprint recognition Geometry Neural networks Pixel Region 2 Singular points Turning
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