Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s10044-011-0248-4 | Pattern Anal. Appl. |
Keywords | Field | DocType |
extraction method,promising result,mobile contactless biometrics,mobile device,contactless palmprint,3-step classification methodology,probabilistic hough transform,texture mask-based feature,major contribution,biometric method,unrestricted access control,knuckle biometrics,biometrics,pattern recognition | Computer vision,Pattern recognition,Hough transform,Feature extraction,Mobile device,Artificial intelligence,Access control,Biometrics,Probabilistic logic,Knuckle,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 1 | 1433-755X |
Citations | PageRank | References |
23 | 1.21 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michał Choraś | 1 | 129 | 18.82 |
| Rafał Kozik | 2 | 46 | 5.32 |