Scene Text Recognition Using Permutated Autoregressive Sequence Model and YOLOv8

Basit Öğe Kaydı
dc.contributor.authorAri, Berna Gurler
dc.contributor.authorComert, Zafer
dc.date.accessioned2026-04-04T13:33:23Z
dc.date.available2026-04-04T13:33:23Z
dc.date.issued2024
dc.departmentİnönü Üniversitesi
dc.description32nd IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2024 -- Tarsus Univ Campus, Mersin, TURKEY
dc.description.abstractText is considered one of the most powerful sources for high-level information extraction. Scene text recognition, a hot field of study in computer vision, is based on first detecting text regions and then analyzing the text in these regions. We target multiple choice questions and question paper analysis, which are the most frequently used methods for measurement and evaluation at all levels in our country, as the target of our research. Three main goals were achieved while conducting experiments on the dataset created with different people and marking styles. These objectives realized on the question paper are respectively; Determining the question with YOLOv8, determining the option with YOLOv8, and determining the question number with the Permutated Autoregressive Sequence Model. The model accuracy obtained from real data shows the feasibility of the study as a result of the measurements.
dc.description.sponsorshipIEEE,IEEE Turkey,Koluman & Berdan,Loodos,Figes,Turkcell,Yildirim Elect
dc.identifier.doi10.1109/SIU61531.2024.10600746
dc.identifier.isbn979-8-3503-8897-8
dc.identifier.isbn979-8-3503-8896-1
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85200840476
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600746
dc.identifier.urihttps://hdl.handle.net/11616/109128
dc.identifier.wosWOS:001297894700027
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof32nd IEEE Signal Processing and Communications Applications Conference, Siu 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectscene text recognition
dc.subjectYOLOv8
dc.subjectoption detection
dc.titleScene Text Recognition Using Permutated Autoregressive Sequence Model and YOLOv8
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu