Classification of Fingerprints Captured Using Optical Coherence Tomography

被引：0

作者：

Sousedik, Ctirad ^{[1
]}

Breithaupt, Ralph ^{[2
]}

Bours, Patrick ^{[1
]}

机构：

[1] Norwegian Univ Sci & Technol NTNU, Gjovik, Norway

[2] Fed Off Informat Secur BSI, Bonn, Germany

来源：

IMAGE ANALYSIS, SCIA 2017, PT II | 2017年 / 10270卷

关键词：

RECOGNITION;

D O I：

10.1007/978-3-319-59129-2_28

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a technique for analysis of fingerprints scanned free-air (not pressed against a glass) with Optical Coherence Tomography (OCT). Fingerprints from the surface and subdermal parts of the finger are extracted from a 2GB volumetric scan in cca. 2 s using our specialized technique and GPU acceleration on GeForce GTX 980. The technique provides fingerprints that perform with promising error rates that demonstrate the potential of the OCT for improved fingerprint identification, as well as its potential for prevention of biometric spoofing (PAD).

引用

页码：326 / 337

页数：12

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