An empirical study of palmprint recognition for mobile phones

Jin Su Kim; Gen Li; Byungjun Son; Jaihie Kim

doi:10.1109/TCE.2015.7298090

An empirical study of palmprint recognition for mobile phones

Jin Su Kim, Gen Li, Byungjun Son, Jaihie Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article

14 Citations (Scopus)

Abstract

Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.

Original language	English
Article number	7298090
Pages (from-to)	311-319
Number of pages	9
Journal	IEEE Transactions on Consumer Electronics
Volume	61
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2015.7298090
Publication status	Published - 2015 Aug 1

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TCE.2015.7298090

Fingerprint Dive into the research topics of 'An empirical study of palmprint recognition for mobile phones'. Together they form a unique fingerprint.

Cite this

Kim, J. S., Li, G., Son, B., & Kim, J. (2015). An empirical study of palmprint recognition for mobile phones. IEEE Transactions on Consumer Electronics, 61(3), 311-319. [7298090]. https://doi.org/10.1109/TCE.2015.7298090

@article{e11d144afe1145c49bc3f7810556a07c,

title = "An empirical study of palmprint recognition for mobile phones",

abstract = "Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.",

author = "Kim, {Jin Su} and Gen Li and Byungjun Son and Jaihie Kim",

year = "2015",

month = aug,

day = "1",

doi = "10.1109/TCE.2015.7298090",

language = "English",

volume = "61",

pages = "311--319",

journal = "IEEE Transactions on Consumer Electronics",

issn = "0098-3063",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - An empirical study of palmprint recognition for mobile phones

AU - Kim, Jin Su

AU - Li, Gen

AU - Son, Byungjun

AU - Kim, Jaihie

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.

AB - Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.

UR - http://www.scopus.com/inward/record.url?scp=84945135268&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945135268&partnerID=8YFLogxK

U2 - 10.1109/TCE.2015.7298090

DO - 10.1109/TCE.2015.7298090

M3 - Article

AN - SCOPUS:84945135268

VL - 61

SP - 311

EP - 319

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 3

M1 - 7298090

ER -