Wavelet based palmprint authentication system

Hassan Masood; Mustafa Mumtaz; M. Asif Afzal Butt; Atif Bin Mansoor; Shoab A. Khan

doi:10.1109/ISBAST.2008.4547667

Wavelet based palmprint authentication system

Hassan Masood, Mustafa Mumtaz, M. Asif Afzal Butt, Atif Bin Mansoor, Shoab A. Khan

Research output: Contribution to conference › Conference presentation/ephemera › peer-review

23 Citations (Scopus)

Abstract

Palmprint based personal verification has quickly entered the biometric family due to its ease of acquisition, high user acceptance and reliability. This paper proposes a palm print based identification system using the textural information, employing different wavelet transforms. The transforms employed have been analyzed for their individual as well as combined performances at feature level. The wavelets used for the analysis are Biorthogonal, Symlet and Discrete Meyer. The analysis of these wavelets is carried out on 500 images, acquired through indigenously made image acquisition system. 500 palmprint obtained from 50 users with 10 samples each have been collected over a period of six months and have been evaluated for the performance of the proposed system. The experimental results obtained from the data have demonstrated the feasibility of the proposed system by exhibiting Genuine Acceptance Rate, GAR of 97.12%.

Original language	English
DOIs	https://doi.org/10.1109/ISBAST.2008.4547667
Publication status	Published - 12 Sept 2008
Externally published	Yes
Event	IEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08 - Islamabad, Pakistan Duration: 23 Apr 2008 → 24 Apr 2008

Conference

Conference	IEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08
Country/Territory	Pakistan
City	Islamabad
Period	23/04/08 → 24/04/08

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10.1109/ISBAST.2008.4547667

Cite this

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title = "Wavelet based palmprint authentication system",

abstract = "Palmprint based personal verification has quickly entered the biometric family due to its ease of acquisition, high user acceptance and reliability. This paper proposes a palm print based identification system using the textural information, employing different wavelet transforms. The transforms employed have been analyzed for their individual as well as combined performances at feature level. The wavelets used for the analysis are Biorthogonal, Symlet and Discrete Meyer. The analysis of these wavelets is carried out on 500 images, acquired through indigenously made image acquisition system. 500 palmprint obtained from 50 users with 10 samples each have been collected over a period of six months and have been evaluated for the performance of the proposed system. The experimental results obtained from the data have demonstrated the feasibility of the proposed system by exhibiting Genuine Acceptance Rate, GAR of 97.12%.",

keywords = "Euclidean distance, Normalized energy, Palmprint, Texture analysis, Wavelets",

author = "Hassan Masood and Mustafa Mumtaz and Butt, {M. Asif Afzal} and Mansoor, {Atif Bin} and Khan, {Shoab A.}",

year = "2008",

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day = "12",

doi = "10.1109/ISBAST.2008.4547667",

language = "English",

note = "IEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08 ; Conference date: 23-04-2008 Through 24-04-2008",

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TY - CONF

T1 - Wavelet based palmprint authentication system

AU - Masood, Hassan

AU - Mumtaz, Mustafa

AU - Butt, M. Asif Afzal

AU - Mansoor, Atif Bin

AU - Khan, Shoab A.

PY - 2008/9/12

Y1 - 2008/9/12

N2 - Palmprint based personal verification has quickly entered the biometric family due to its ease of acquisition, high user acceptance and reliability. This paper proposes a palm print based identification system using the textural information, employing different wavelet transforms. The transforms employed have been analyzed for their individual as well as combined performances at feature level. The wavelets used for the analysis are Biorthogonal, Symlet and Discrete Meyer. The analysis of these wavelets is carried out on 500 images, acquired through indigenously made image acquisition system. 500 palmprint obtained from 50 users with 10 samples each have been collected over a period of six months and have been evaluated for the performance of the proposed system. The experimental results obtained from the data have demonstrated the feasibility of the proposed system by exhibiting Genuine Acceptance Rate, GAR of 97.12%.

AB - Palmprint based personal verification has quickly entered the biometric family due to its ease of acquisition, high user acceptance and reliability. This paper proposes a palm print based identification system using the textural information, employing different wavelet transforms. The transforms employed have been analyzed for their individual as well as combined performances at feature level. The wavelets used for the analysis are Biorthogonal, Symlet and Discrete Meyer. The analysis of these wavelets is carried out on 500 images, acquired through indigenously made image acquisition system. 500 palmprint obtained from 50 users with 10 samples each have been collected over a period of six months and have been evaluated for the performance of the proposed system. The experimental results obtained from the data have demonstrated the feasibility of the proposed system by exhibiting Genuine Acceptance Rate, GAR of 97.12%.

KW - Euclidean distance

KW - Normalized energy

KW - Palmprint

KW - Texture analysis

KW - Wavelets

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U2 - 10.1109/ISBAST.2008.4547667

DO - 10.1109/ISBAST.2008.4547667

M3 - Conference presentation/ephemera

AN - SCOPUS:51249107371

T2 - IEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08

Y2 - 23 April 2008 through 24 April 2008

ER -

Wavelet based palmprint authentication system

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