IIUM Repository

Biometric identification using augmented database

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

[img] PDF - Published Version
Restricted to Registered users only

Download (753kB) | Request a copy
PDF (SCOPUS) - Supplemental Material
Download (164kB) | Preview


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.

Item Type: Article (Journal)
Additional Information: 6584/68968
Uncontrolled Keywords: androgenic hair pattern, augmented data, biometric identification, hierarchical Gaussian scale-space, limited training
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Kulliyyah of Engineering
Depositing User: Dr.-Ing. Wahju Sediono
Date Deposited: 11 Feb 2019 10:38
Last Modified: 12 Jun 2019 17:07
URI: http://irep.iium.edu.my/id/eprint/68968

Actions (login required)

View Item View Item


Downloads per month over past year