Biometric identification with limited data set

Lionnie, Regina and Attamimi, Said and Sediono, Wahju and Alaydrus, Mudrik (2019) Biometric identification with limited data set. In: 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 9th-11th October 2018, Batu, East Java, Indonesia.

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Abstract

Sometimes, in real life, there is only limited information which can be obtained. This situation can be a challenge for the recognition system. The most suitable method to produce best performance needs to be developed. In this paper, small database with limited training data, 50 total images that were obtained from 25 people, with only 2 images for every respondent were tested in the recognition system. The SIFT algorithm was utilized and also compared with other methods such as Haar wavelet transform, principal component analysis and hierarchical Gaussian scale-space. The best recognition precision was produced by SIFT algorithm which was 38%, while other methods only gave out 30-32% precision of recognition.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6584/72373
Uncontrolled Keywords:	androgenic hair pattern; biometric identification; limited training data set; SIFT
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 Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr.-Ing. Wahju Sediono
Date Deposited:	28 May 2019 15:12
Last Modified:	28 May 2019 15:19
URI:	http://irep.iium.edu.my/id/eprint/72373

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