Biometric authentication using finger-back surface

Ch Ravikanth; Ajay Kumar Pathak

doi:10.1109/CVPR.2007.383390

Biometric authentication using finger-back surface

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

62 Citations (Scopus)

Abstract

This paper investigates a new biometric system based on texture of the hand knuckles. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. Hand geometry features can be acquired from the same image, at the same time and integrated to improve the performance of the system. The finger back surface images from each of the users are used to extract scale, translation and rotational invariant knuckle images. The proposed system, especially on the peg-free and noncontact imaging setup, achieves promising results when tested over a database of 105 users.

Original language	English
Title of host publication	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
DOIs	https://doi.org/10.1109/CVPR.2007.383390
Publication status	Published - 11 Oct 2007
Externally published	Yes
Event	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07 - Minneapolis, MN, United States Duration: 17 Jun 2007 → 22 Jun 2007

Conference

Conference	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
Country/Territory	United States
City	Minneapolis, MN
Period	17/06/07 → 22/06/07

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

More information

10.1109/CVPR.2007.383390

Cite this

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title = "Biometric authentication using finger-back surface",

abstract = "This paper investigates a new biometric system based on texture of the hand knuckles. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. Hand geometry features can be acquired from the same image, at the same time and integrated to improve the performance of the system. The finger back surface images from each of the users are used to extract scale, translation and rotational invariant knuckle images. The proposed system, especially on the peg-free and noncontact imaging setup, achieves promising results when tested over a database of 105 users.",

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AB - This paper investigates a new biometric system based on texture of the hand knuckles. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. Hand geometry features can be acquired from the same image, at the same time and integrated to improve the performance of the system. The finger back surface images from each of the users are used to extract scale, translation and rotational invariant knuckle images. The proposed system, especially on the peg-free and noncontact imaging setup, achieves promising results when tested over a database of 105 users.

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BT - 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07

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Biometric authentication using finger-back surface

Abstract

Conference

ASJC Scopus subject areas

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