Biometric identification with limited data set

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 w...

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Main Authors: Lionnie, Regina, Attamimi, Said, Sediono, Wahju, Alaydrus, Mudrik
Format: Proceeding Paper
Language:English
English
Published: IEEE 2019
Subjects:
Online Access:http://irep.iium.edu.my/72373/
http://irep.iium.edu.my/72373/7/72373%20Biometric%20Identification%20with%20Limited%20Data%20Set.pdf
http://irep.iium.edu.my/72373/10/72373%20Biometric%20Identification%20SCOPUS.pdf
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author Lionnie, Regina
Attamimi, Said
Sediono, Wahju
Alaydrus, Mudrik
author_facet Lionnie, Regina
Attamimi, Said
Sediono, Wahju
Alaydrus, Mudrik
author_sort Lionnie, Regina
building IIUM Repository
collection Online Access
description 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.
first_indexed 2025-11-14T17:27:33Z
format Proceeding Paper
id iium-72373
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:27:33Z
publishDate 2019
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling iium-723732019-05-28T07:19:27Z http://irep.iium.edu.my/72373/ Biometric identification with limited data set Lionnie, Regina Attamimi, Said Sediono, Wahju Alaydrus, Mudrik TK7885 Computer engineering 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. IEEE 2019-04-18 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/72373/7/72373%20Biometric%20Identification%20with%20Limited%20Data%20Set.pdf application/pdf en http://irep.iium.edu.my/72373/10/72373%20Biometric%20Identification%20SCOPUS.pdf 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. https://ieeexplore.ieee.org/document/8692859 10.1109/EECCIS.2018.8692859
spellingShingle TK7885 Computer engineering
Lionnie, Regina
Attamimi, Said
Sediono, Wahju
Alaydrus, Mudrik
Biometric identification with limited data set
title Biometric identification with limited data set
title_full Biometric identification with limited data set
title_fullStr Biometric identification with limited data set
title_full_unstemmed Biometric identification with limited data set
title_short Biometric identification with limited data set
title_sort biometric identification with limited data set
topic TK7885 Computer engineering
url http://irep.iium.edu.my/72373/
http://irep.iium.edu.my/72373/
http://irep.iium.edu.my/72373/
http://irep.iium.edu.my/72373/7/72373%20Biometric%20Identification%20with%20Limited%20Data%20Set.pdf
http://irep.iium.edu.my/72373/10/72373%20Biometric%20Identification%20SCOPUS.pdf