Hand biometric recognition based on fused hand geometry and vascular patterns

Gitae Park, Soo-Won Kim

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

A hand biometric authentication method based on measurements of the user's hand geometry and vascular pattern is proposed. To acquire the hand geometry, the thickness of the side view of the hand, the K-curvature with a hand-shaped chain code, the lengths and angles of the finger valleys, and the lengths and profiles of the fingers were used, and for the vascular pattern, the direction-based vascular-pattern extraction method was used, and thus, a new multimodal biometric approach is proposed. The proposed multimodal biometric system uses only one image to extract the feature points. This system can be configured for low-cost devices. Our multimodal biometric-approach hand-geometry (the side view of the hand and the back of hand) and vascular-pattern recognition method performs at the score level. The results of our study showed that the equal error rate of the proposed system was 0.06%.

Original languageEnglish
Pages (from-to)2895-2910
Number of pages16
JournalSensors (Switzerland)
Volume13
Issue number3
DOIs
Publication statusPublished - 2013 Mar 1

Fingerprint

biometrics
Biometrics
Blood Vessels
Hand
Geometry
geometry
pattern recognition
Authentication
Fingers
Pattern recognition
valleys
Biometric Identification
curvature
profiles
Costs
Costs and Cost Analysis
Equipment and Supplies

Keywords

  • Hand biometric
  • Hand geometry
  • Multimodal biometric
  • Vascular-pattern recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Hand biometric recognition based on fused hand geometry and vascular patterns. / Park, Gitae; Kim, Soo-Won.

In: Sensors (Switzerland), Vol. 13, No. 3, 01.03.2013, p. 2895-2910.

Research output: Contribution to journalArticle

@article{7c9b699c9c1e4201a43a557a6fa52814,
title = "Hand biometric recognition based on fused hand geometry and vascular patterns",
abstract = "A hand biometric authentication method based on measurements of the user's hand geometry and vascular pattern is proposed. To acquire the hand geometry, the thickness of the side view of the hand, the K-curvature with a hand-shaped chain code, the lengths and angles of the finger valleys, and the lengths and profiles of the fingers were used, and for the vascular pattern, the direction-based vascular-pattern extraction method was used, and thus, a new multimodal biometric approach is proposed. The proposed multimodal biometric system uses only one image to extract the feature points. This system can be configured for low-cost devices. Our multimodal biometric-approach hand-geometry (the side view of the hand and the back of hand) and vascular-pattern recognition method performs at the score level. The results of our study showed that the equal error rate of the proposed system was 0.06{\%}.",
keywords = "Hand biometric, Hand geometry, Multimodal biometric, Vascular-pattern recognition",
author = "Gitae Park and Soo-Won Kim",
year = "2013",
month = "3",
day = "1",
doi = "10.3390/s130302895",
language = "English",
volume = "13",
pages = "2895--2910",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

TY - JOUR

T1 - Hand biometric recognition based on fused hand geometry and vascular patterns

AU - Park, Gitae

AU - Kim, Soo-Won

PY - 2013/3/1

Y1 - 2013/3/1

N2 - A hand biometric authentication method based on measurements of the user's hand geometry and vascular pattern is proposed. To acquire the hand geometry, the thickness of the side view of the hand, the K-curvature with a hand-shaped chain code, the lengths and angles of the finger valleys, and the lengths and profiles of the fingers were used, and for the vascular pattern, the direction-based vascular-pattern extraction method was used, and thus, a new multimodal biometric approach is proposed. The proposed multimodal biometric system uses only one image to extract the feature points. This system can be configured for low-cost devices. Our multimodal biometric-approach hand-geometry (the side view of the hand and the back of hand) and vascular-pattern recognition method performs at the score level. The results of our study showed that the equal error rate of the proposed system was 0.06%.

AB - A hand biometric authentication method based on measurements of the user's hand geometry and vascular pattern is proposed. To acquire the hand geometry, the thickness of the side view of the hand, the K-curvature with a hand-shaped chain code, the lengths and angles of the finger valleys, and the lengths and profiles of the fingers were used, and for the vascular pattern, the direction-based vascular-pattern extraction method was used, and thus, a new multimodal biometric approach is proposed. The proposed multimodal biometric system uses only one image to extract the feature points. This system can be configured for low-cost devices. Our multimodal biometric-approach hand-geometry (the side view of the hand and the back of hand) and vascular-pattern recognition method performs at the score level. The results of our study showed that the equal error rate of the proposed system was 0.06%.

KW - Hand biometric

KW - Hand geometry

KW - Multimodal biometric

KW - Vascular-pattern recognition

UR - http://www.scopus.com/inward/record.url?scp=84875139997&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875139997&partnerID=8YFLogxK

U2 - 10.3390/s130302895

DO - 10.3390/s130302895

M3 - Article

C2 - 23449119

AN - SCOPUS:84875139997

VL - 13

SP - 2895

EP - 2910

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

SN - 1424-8220

IS - 3

ER -