Contactless palmprint and knuckle biometrics for mobile devices

被引：52

作者：

Choras, Michal ^{[1
]}

Kozik, Rafal ^{[1
]}

机构：

[1] Inst Telecommun, Image Proc Grp, PL-85976 Bydgoszcz, Poland

来源：

PATTERN ANALYSIS AND APPLICATIONS | 2012年 / 15卷 / 01期

关键词：

Pattern recognition; Biometrics; Emerging biometric modalities; Palmprint biometrics; Knuckle biometrics; IDENTIFICATION;

D O I：

10.1007/s10044-011-0248-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, biometric methods for contactless and unrestricted access control for mobile devices are proposed. The major contribution of this paper are palmprint and knuckles feature extraction methods dedicated for the mobile contactless biometrics. We use texture mask-based features for the palmprint. For the knuckles, we use Probabilistic Hough Transform and Speeded Up Robust Features as well as the 3-step classification methodology. We prove the efficiency of the presented methods by reporting promising results.

引用

页码：73 / 85

页数：13

共 28 条

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