Basit öğe kaydını göster

Webcam Based Real-Time Robust Optical Mark Recognition

dc.contributor.authorAtasoy, Hüseyin
dc.contributor.authorYıldırım, Esen
dc.contributor.authorKutlu, Yakup
dc.contributor.authorTohma, Kadir
dc.date.accessioned12.07.201910:50:10
dc.date.accessioned2019-07-12T22:07:38Z
dc.date.available12.07.201910:50:10
dc.date.available2019-07-12T22:07:38Z
dc.date.issued2015
dc.identifier.citationAtasoy H., Yildirim E., Kutlu Y., Tohma K. (2015). Webcam Based Real-Time Robust Optical Mark Recognition. In: Arik S., Huang T., Lai W., Liu Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science, 9490, pp. 449-456. https://doi.org/10.1007/978-3-319-26535-3_51
dc.identifier.isbn978-3-319-26535-3; 978-3-319-26534-6
dc.identifier.issn0302-9743
dc.identifier.urihttps://doi.org/10.1007/978-3-319-26535-3_51
dc.identifier.urihttps://hdl.handle.net/20.500.12508/921
dc.description22nd International Conference on Neural Information Processing (ICONIP)en_US
dc.descriptionWOS: 000371579600051en_US
dc.description.abstractThis study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any user-designed OMR form which can be customized for any purpose. It was implemented and tested on examination papers to read students' numbers and their examination results automatically. Results and numbers on 87 out of 88 papers were correctly identified. It was tested under different lighting conditions and with different mark colors. The results indicate that the system is robust and reliable.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.isversionof10.1007/978-3-319-26535-3_51en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOptical mark recognitionen_US
dc.subjectClusteringen_US
dc.subjectMark detectionen_US
dc.subject.classificationComputer Science
dc.subject.classificationArtificial Intelligence
dc.subject.classificationComputer Science
dc.subject.classificationTheory & Methods
dc.subject.classificationMultiple Choice Test | SPOT | Ground Control
dc.subject.otherArtificial intelligence
dc.subject.otherComputers
dc.subject.otherClustering
dc.subject.otherLighting conditions
dc.subject.otherLow costs
dc.subject.otherMark recognition
dc.subject.otherReal time
dc.subject.otherInformation science
dc.titleWebcam Based Real-Time Robust Optical Mark Recognitionen_US
dc.typeconferenceObjecten_US
dc.relation.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume9490en_US
dc.identifier.startpage449en_US
dc.identifier.endpage456en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorAtasoy, Hüseyin
dc.contributor.isteauthorYıldırım, Esen
dc.contributor.isteauthorKutlu, Yakup
dc.contributor.isteauthorTohma, Kadir
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Conference Proceedings Citation Index- Science


Bu öğenin dosyaları:

Ad:
huseyin-atasoy.pdf
Boyut:
5.121Mb
Biçim:
PDF
Açıklama:
Tam Metin / Full Text
Göster/Aç

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster