Dynamic ROI Extraction for Palmprints using MediaPipe Hands

Basit Öğe Kaydı
dc.authorid0000-0001-7036-1723
dc.contributor.authorKocakulak, Mustafa
dc.contributor.authorAcir, Nurettin
dc.date.accessioned2026-02-12T21:04:55Z
dc.date.available2026-02-12T21:04:55Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY
dc.description.abstractHand-based biometric traits have been widely used in recognition systems. Dynamic region of interest extraction is an important preprocessing step for these systems to avoid recognition performance degradation. In this study, a dynamic region of interest extraction method that can be used for palm vein, palmprint, and dorsal hand vein has been proposed using Google's MediaPipe Hands framework. Since 3 biometric traits focus on nearly the same region that contains biometric information on the images, this study aims to show that the proposed extraction method can be utilized for these traits on mobile biometric applications. This method has been implemented on IIT Delhi Touchless Palmprint Database and 93% accuracy was obtained. The average processing time per image for ROI extraction was recorded as 2.64 seconds. With this study, a paradigm for future studies on hand biometrics has been created and the required processing time for a dynamic extraction has been reduced considerably.
dc.description.sponsorshipIEEE,IEEE Turkey Sect,Bahcesehir Univ
dc.identifier.doi10.1109/SIU55565.2022.9864940
dc.identifier.isbn978-1-6654-5092-8
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85138717718
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864940
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6725
dc.identifier.wosWOS:001307163400278
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2022 30Th Signal Processing and Communications Applications Conference, Siu
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectpalmprint
dc.subjectdynamic extraction
dc.subjectregion of interest
dc.subjectMediaPipe Hands
dc.subjectpreprocessing
dc.titleDynamic ROI Extraction for Palmprints using MediaPipe Hands
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu