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Integration of statistical method and zernike moment as feature extraction in liveness detection

Recently, fake fingerprints have been used to defeat fingerprint recognition systems. These fake fingerprints are created without the need for any expertise and use easily found materials. In this paper, a fake fingerprint detection method is proposed that employs a combination of eleven statistical...

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Main Authors: Ahmad, A. S., Hassan, R., Zakaria, Z., Ramlan, R.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/90180/1/AsrafulSyifaaAhmad2019_IntegrationofStatisticalMethod.pdf
http://eprints.utm.my/id/eprint/90180/
https://dx.doi.org/10.1088/1757-899X/551/1/012064
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id my.utm.90180
record_format eprints
spelling my.utm.901802021-03-29T06:00:31Z http://eprints.utm.my/id/eprint/90180/ Integration of statistical method and zernike moment as feature extraction in liveness detection Ahmad, A. S. Hassan, R. Zakaria, Z. Ramlan, R. QA75 Electronic computers. Computer science Recently, fake fingerprints have been used to defeat fingerprint recognition systems. These fake fingerprints are created without the need for any expertise and use easily found materials. In this paper, a fake fingerprint detection method is proposed that employs a combination of eleven statistical methods and integrating them with Zernike Moment as the feature extractor. Based on the experimental results, the proposed method showed average classification accuracy, sensitivity and specificity of approximately 80% for all sensors used to capture fake fingerprint images fabricated by gelatine and latex materials. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90180/1/AsrafulSyifaaAhmad2019_IntegrationofStatisticalMethod.pdf Ahmad, A. S. and Hassan, R. and Zakaria, Z. and Ramlan, R. (2019) Integration of statistical method and zernike moment as feature extraction in liveness detection. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019, 4-5 Feb 2019, Eastin Hotel Makkasan, Bangkok, Thailand. https://dx.doi.org/10.1088/1757-899X/551/1/012064
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, A. S.
Hassan, R.
Zakaria, Z.
Ramlan, R.
Integration of statistical method and zernike moment as feature extraction in liveness detection
description Recently, fake fingerprints have been used to defeat fingerprint recognition systems. These fake fingerprints are created without the need for any expertise and use easily found materials. In this paper, a fake fingerprint detection method is proposed that employs a combination of eleven statistical methods and integrating them with Zernike Moment as the feature extractor. Based on the experimental results, the proposed method showed average classification accuracy, sensitivity and specificity of approximately 80% for all sensors used to capture fake fingerprint images fabricated by gelatine and latex materials.
format Conference or Workshop Item
author Ahmad, A. S.
Hassan, R.
Zakaria, Z.
Ramlan, R.
author_facet Ahmad, A. S.
Hassan, R.
Zakaria, Z.
Ramlan, R.
author_sort Ahmad, A. S.
title Integration of statistical method and zernike moment as feature extraction in liveness detection
title_short Integration of statistical method and zernike moment as feature extraction in liveness detection
title_full Integration of statistical method and zernike moment as feature extraction in liveness detection
title_fullStr Integration of statistical method and zernike moment as feature extraction in liveness detection
title_full_unstemmed Integration of statistical method and zernike moment as feature extraction in liveness detection
title_sort integration of statistical method and zernike moment as feature extraction in liveness detection
publishDate 2019
url http://eprints.utm.my/id/eprint/90180/1/AsrafulSyifaaAhmad2019_IntegrationofStatisticalMethod.pdf
http://eprints.utm.my/id/eprint/90180/
https://dx.doi.org/10.1088/1757-899X/551/1/012064
_version_ 1696976273017929728
score 13.211869

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