| dc.contributor.author | Macan, Huseyin Furkan | |
| dc.contributor.author | Bingol, Ozkan | |
| dc.contributor.author | Turk, Salih | |
| dc.contributor.author | Ekinci, Murat | |
| dc.date.accessioned | 2025-03-06T12:29:05Z | |
| dc.date.available | 2025-03-06T12:29:05Z | |
| dc.date.issued | 21 September 2024through 22 September 2024 | en_US |
| dc.identifier.citation | Scopus
EXPORT DATE: 06 March 2025
@CONFERENCE{MacAn2024,
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207966182&doi=10.1109%2fIDAP64064.2024.10710808&partnerID=40&md5=c54ddebd755f9e5fb172be180e825aaf},
affiliations = {Gumushane University, Department of Management Information Systems, Gümüşhane, Turkey; Gumushane University, Department of Software Engineering, Gümüşhane, Turkey; Karadeniz Technical University, Department of Computer Engineering, Trabzon, Turkey},
correspondence_address = {H.F. Macan; Gumushane University, Department of Management Information Systems, Gümüşhane, Turkey; email: huseyinfurkanmacan@hotmail.com},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
isbn = {979-833153149-2},
language = {Turkish},
abbrev_source_title = {Int. Artif. Intell. Data Process. Symp., IDAP}
} | en_US |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85207966182&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=40fd9bda90835901e708def55a088591 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12440/6427 | |
| dc.description.abstract | The sizes of regions of interest (ROI) obtained from images captured by cameras in palmprint recognition may vary depending on the camera specifications and the position of the hand. The regions of interest that recognition systems can use are typically rescaled through interpolation techniques and then defined as inputs to the system. In such cases, there may be some loss of biometric data. This study aims to enhance the quality of the palmprint ROI images, which are critical for palmprint recognition systems. To achieve this, various super-resolution techniques were employed to reconstruct low-resolution ROI images to the target sizes while preserving the distinctiveness of their biometric features. This approach is designed to optimize recognition accuracy and improve data reliability in palmprint recognition processes. © 2024 IEEE. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | biometric image enhancement; palm print recognition; super-resolution | en_US |
| dc.title | Super-Resolution Based ROI Enhancement Approaches for Palmprint Recognition | en_US |
| dc.title.alternative | Avuç İzi Tanıma İçin Süper Çözünürlük Tabanlı ROI İyileştirme Yaklaşımları | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı | en_US |
| dc.department | Fakülteler, İktisadi ve İdari Bilimler Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
| dc.authorid | 0009-0001-5899-0970 | en_US |
| dc.authorid | 0000-0002-0342-5288 | en_US |
| dc.contributor.institutionauthor | Turk, Salih | |
| dc.contributor.institutionauthor | Macan, Huseyin Furkan | |
| dc.identifier.doi | 10.1109/IDAP64064.2024.10710808 | en_US |
| dc.authorwosid | JFK-7724-2023 | en_US |
| dc.authorscopusid | 59391359800 | en_US |
| dc.authorscopusid | 56779711600 | en_US |
