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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE sensors journal Ročník 20; číslo 16; s. 9305 - 9313
Hlavní autori:	Anand, Vijay, Kanhangad, Vivek
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!