Personal identification using finger knuckle orientation features

Ajay Kumar Pathak; Y. Zhou

doi:10.1049/el.2009.1435

Personal identification using finger knuckle orientation features

Ajay Kumar Pathak, Y. Zhou

Research output: Journal article publication › Journal article › Academic research › peer-review

61 Citations (Scopus)

Abstract

A novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform is proposed. The feasibility of this approach is rigorously evaluated on a publically available finger knuckle database from 158 subjects and achieves highly promising results.

Original language	English
Pages (from-to)	1023-1025
Number of pages	3
Journal	Electronics Letters
Volume	45
Issue number	20
DOIs	https://doi.org/10.1049/el.2009.1435
Publication status	Published - 5 Oct 2009

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1049/el.2009.1435

Cite this

@article{56f92702f0384e96a2ee954ff9ce2e1c,

title = "Personal identification using finger knuckle orientation features",

abstract = "A novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform is proposed. The feasibility of this approach is rigorously evaluated on a publically available finger knuckle database from 158 subjects and achieves highly promising results.",

author = "Pathak, {Ajay Kumar} and Y. Zhou",

year = "2009",

month = oct,

day = "5",

doi = "10.1049/el.2009.1435",

language = "English",

volume = "45",

pages = "1023--1025",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley & Sons Inc.",

number = "20",

}

TY - JOUR

T1 - Personal identification using finger knuckle orientation features

AU - Pathak, Ajay Kumar

AU - Zhou, Y.

PY - 2009/10/5

Y1 - 2009/10/5

N2 - A novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform is proposed. The feasibility of this approach is rigorously evaluated on a publically available finger knuckle database from 158 subjects and achieves highly promising results.

AB - A novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform is proposed. The feasibility of this approach is rigorously evaluated on a publically available finger knuckle database from 158 subjects and achieves highly promising results.

UR - http://www.scopus.com/inward/record.url?scp=70349509221&partnerID=8YFLogxK

U2 - 10.1049/el.2009.1435

DO - 10.1049/el.2009.1435

M3 - Journal article

SN - 0013-5194

VL - 45

SP - 1023

EP - 1025

JO - Electronics Letters

JF - Electronics Letters

IS - 20

ER -

Personal identification using finger knuckle orientation features

Abstract

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this