dc.contributor.author | Atasoy, Hüseyin | |
dc.contributor.author | Yıldırım, Esen | |
dc.contributor.author | Kutlu, Yakup | |
dc.contributor.author | Tohma, Kadir | |
dc.date.accessioned | 12.07.201910:50:10 | |
dc.date.accessioned | 2019-07-12T22:07:38Z | |
dc.date.available | 12.07.201910:50:10 | |
dc.date.available | 2019-07-12T22:07:38Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Atasoy 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.isbn | 978-3-319-26535-3; 978-3-319-26534-6 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-26535-3_51 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/921 | |
dc.description | 22nd International Conference on Neural Information Processing (ICONIP) | en_US |
dc.description | WOS: 000371579600051 | en_US |
dc.description.abstract | This 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.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.relation.isversionof | 10.1007/978-3-319-26535-3_51 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Optical mark recognition | en_US |
dc.subject | Clustering | en_US |
dc.subject | Mark detection | en_US |
dc.subject.classification | Computer Science | |
dc.subject.classification | Artificial Intelligence | |
dc.subject.classification | Computer Science | |
dc.subject.classification | Theory & Methods | |
dc.subject.classification | Multiple Choice Test | SPOT | Ground Control | |
dc.subject.other | Artificial intelligence | |
dc.subject.other | Computers | |
dc.subject.other | Clustering | |
dc.subject.other | Lighting conditions | |
dc.subject.other | Low costs | |
dc.subject.other | Mark recognition | |
dc.subject.other | Real time | |
dc.subject.other | Information science | |
dc.title | Webcam Based Real-Time Robust Optical Mark Recognition | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü | en_US |
dc.identifier.volume | 9490 | en_US |
dc.identifier.startpage | 449 | en_US |
dc.identifier.endpage | 456 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Atasoy, Hüseyin | |
dc.contributor.isteauthor | Yıldırım, Esen | |
dc.contributor.isteauthor | Kutlu, Yakup | |
dc.contributor.isteauthor | Tohma, Kadir | |
dc.relation.index | Web of Science - Scopus | en_US |
dc.relation.index | Web of Science Core Collection - Conference Proceedings Citation Index- Science | |