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Webcam Based Real-Time Robust Optical Mark Recognition

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Date

2015

Author

Atasoy, Hüseyin
Yıldırım, Esen
Kutlu, Yakup
Tohma, Kadir

Metadata

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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

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.

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

9490

URI

https://doi.org/10.1007/978-3-319-26535-3_51
https://hdl.handle.net/20.500.12508/921

Collections

  • Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu [1420]
  • Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu [1460]
  • Bildiri & Sunum Koleksiyonu [20]



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