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Improving subset linear discriminant analysis algorithm using overlapping clustering
Improving subset linear discriminant analysis algorithm using overlapping clustering
| cris.virtual.department | Universiti Malaysia Perlis | |
| cris.virtualsource.department | a19d4cbc-2489-4c8e-8287-251ae470e4c4 | |
| dc.contributor.author | Thulfiqar H. Mandeel | |
| dc.contributor.author | Muhammad Imran Ahmad | |
| dc.contributor.author | Noor Aldeen A. Khalid | |
| dc.contributor.author | Mustafa Hamid Hassan | |
| dc.contributor.author | Mohammed Hayder Kadhim | |
| dc.date.accessioned | 2025-12-18T04:04:48Z | |
| dc.date.available | 2025-12-18T04:04:48Z | |
| dc.date.issued | 2023-08 | |
| dc.description.abstract | In recent years, there have been many proposals to improve the performance of traditional linear discriminant analysis (LDA). One of these is subset-improving linear discriminant analysis (S-LDA), which is based on clustering the whole set of classes into subsets and performing the LDA locally on these subsets. However, this algorithm suffers from an improper mapping of the classes to the corresponding subset during the testing procedure due to the inevitable discrepancy between the images used for training and those for testing. This discrepancy is caused either by spatial distortion or noise. The wrong mapping is severe when the number of data samples is small which is a common scenario in biometric datasets. In this paper, overlapping clustering is proposed for class clustering, to overcome the aforementioned problem. The proposed algorithm outperforms the S-LDA by 35.4% in mapping accuracy when using the PolyU palmprint database, 36.96%, resp. 33.92% when using left resp. Right palm images from the IIT Delhi Touchless Palmprint Database. | |
| dc.identifier.doi | 10.1109/AICCIT57614.2023.10217938 | |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/10217938 | |
| dc.identifier.uri | https://ieeexplore.ieee.org/Xplore/ | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14170/15537 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.conference | Al-Sadiq International Conference on Communication and Information Technology (AICCIT), 04-06 July 2023, Al-Muthana, Iraq. | |
| dc.relation.ispartof | Proceedings of the 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT) | |
| dc.subject | Biometric Recognition | |
| dc.subject | Palmprint | |
| dc.subject | Subset Improving Linear Discriminant Analysis | |
| dc.title | Improving subset linear discriminant analysis algorithm using overlapping clustering | |
| dc.type | Resource Types::text::conference output::conference proceedings::conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 193 | |
| oaire.citation.startPage | 190 | |
| oairecerif.author.affiliation | Imam Ja'afar Al-Sadiq University | |
| oairecerif.author.affiliation | Universiti Malaysia Perlis | |
| oairecerif.author.affiliation | Bilad Alrafidain University College | |
| oairecerif.author.affiliation | Imam Ja'afar Al-Sadiq University | |
| oairecerif.author.affiliation | Jabir Ibn Hayyan for Medical and Pharmaceutical Sciences |
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