Biometric identification using augmented database

Androgenic hair pattern is one of the newest soft biometric trait that can be used to identify criminals when their faces are covered in the evidences of criminal investigation. In real-life situation, sometimes the available evidence is limited thus creating problems for authorities to identify cri...

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Main Authors:	Lionnie, Regina, Agustina, Ellisa, Sediono, Wahju, Alaydrus, Mudrik
Format:	Article
Language:	English English
Published:	Universitas Ahmad Dahlan 2019
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/1/68968_Biometric%20Identification%20Using%20Augmented.pdf http://irep.iium.edu.my/68968/2/68968_Biometric%20Identification%20Using%20Augmented_SCOPUS.pdf

id	iium-68968
recordtype	eprints
spelling	iium-689682019-06-12T09:07:02Z http://irep.iium.edu.my/68968/ Biometric identification using augmented database Lionnie, Regina Agustina, Ellisa Sediono, Wahju Alaydrus, Mudrik TK7885 Computer engineering Androgenic hair pattern is one of the newest soft biometric trait that can be used to identify criminals when their faces are covered in the evidences of criminal investigation. In real-life situation, sometimes the available evidence is limited thus creating problems for authorities to identify criminal based on the limited data. This research developed the recognition system to identify individuals based on their androgenic hair pattern in a limited data situation in such a way that the limited images were expanded by the augmentation process. There were 50 images studied and expanded into 2.000 images from the augmentation process of rotating, reflecting, adjusting color and intensity. Furthermore, the effect of human skin color extraction was investigated by employing HSV and YCbCr color spaces. The scale-space hierarchy was built among the images with Gaussian function and produced 70% recognition precision that was around more than 2 times higher compared to system of recognition with only limited data. Universitas Ahmad Dahlan 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/68968/1/68968_Biometric%20Identification%20Using%20Augmented.pdf application/pdf en http://irep.iium.edu.my/68968/2/68968_Biometric%20Identification%20Using%20Augmented_SCOPUS.pdf Lionnie, Regina and Agustina, Ellisa and Sediono, Wahju and Alaydrus, Mudrik (2019) Biometric identification using augmented database. Telkomnika (Telecommunication Computing Electronics and Control), 17 (1). pp. 103-109. ISSN 1693-6930 E-ISSN 2302-9293 http://www.journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11713 10.12928/TELKOMNIKA.v17i1.11713
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Lionnie, Regina Agustina, Ellisa Sediono, Wahju Alaydrus, Mudrik Biometric identification using augmented database
description	Androgenic hair pattern is one of the newest soft biometric trait that can be used to identify criminals when their faces are covered in the evidences of criminal investigation. In real-life situation, sometimes the available evidence is limited thus creating problems for authorities to identify criminal based on the limited data. This research developed the recognition system to identify individuals based on their androgenic hair pattern in a limited data situation in such a way that the limited images were expanded by the augmentation process. There were 50 images studied and expanded into 2.000 images from the augmentation process of rotating, reflecting, adjusting color and intensity. Furthermore, the effect of human skin color extraction was investigated by employing HSV and YCbCr color spaces. The scale-space hierarchy was built among the images with Gaussian function and produced 70% recognition precision that was around more than 2 times higher compared to system of recognition with only limited data.
format	Article
author	Lionnie, Regina Agustina, Ellisa Sediono, Wahju Alaydrus, Mudrik
author_facet	Lionnie, Regina Agustina, Ellisa Sediono, Wahju Alaydrus, Mudrik
author_sort	Lionnie, Regina
title	Biometric identification using augmented database
title_short	Biometric identification using augmented database
title_full	Biometric identification using augmented database
title_fullStr	Biometric identification using augmented database
title_full_unstemmed	Biometric identification using augmented database
title_sort	biometric identification using augmented database
publisher	Universitas Ahmad Dahlan
publishDate	2019
url	http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/ http://irep.iium.edu.my/68968/1/68968_Biometric%20Identification%20Using%20Augmented.pdf http://irep.iium.edu.my/68968/2/68968_Biometric%20Identification%20Using%20Augmented_SCOPUS.pdf
first_indexed	2023-09-18T21:37:52Z
last_indexed	2023-09-18T21:37:52Z
_version_	1777412942453538816

Biometric identification using augmented database

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