Webcam Based Real-Time Robust Optical Mark Recognition-Reference-Cited by-同舟云学术

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Webcam Based Real-Time Robust Optical Mark Recognition

Published:2015 Issue: Volume: Page:449-456
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Atasoy Huseyin,Yildirim Esen,Kutlu Yakup,Tohma Kadir

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26535-3_51

Reference9 articles.

1. Perez-Benedito, J.L., Querol Aragon, E., Alriols, J.A., Medic, L.: Optical mark recognition in student continuous assessment. Tecnologias del Aprendizaje, IEEE Rev. Iberoamericana de 9(4), 133–138 (2014)

2. Nguyen, T.D., Manh, Q.H., Minh, P.B., Thanh, L.N., Hoang, T.M.: Efficient and reliable camera based multiple-choice test grading system. In: 2011 International Conference on Advanced Technologies for Communications (ATC), pp. 268–271. IEEE (2011)

3. Xiu, P., Lopresti, D., Baird, H., Nagy, G., Smith, E.B.: Style-based ballot mark recognition. In: 10th International Conference on Document Analysis and Recognition, ICDAR 2009, pp. 216–220. IEEE (2009)

4. Deng, H., Wang, F., Liang, B.: A low-cost OMR solution for educational applications. In: International Symposium on Parallel and Distributed Processing with Applications ISPA 2008, pp. 967–970. IEEE (2008)

5. Kubo, H., Ohashi, H., Tamamura, M., Kowata, T.: Shared questionnaire system for school community management. In: International Symposium on Applications and the Internet Workshops, pp. 439–445. IEEE (2004)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optical Mark Recognition with Object Detection and Clustering;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

2. An Enhanced Fault Tolerance Algorithm for Optical Mark Recognition Using Smartphone Cameras;IEEE Access;2024

3. Fault Tolerant Optical Mark Recognition;Computers, Materials & Continua;2023

4. GERMIC: Application of Gesture Recognition Model with Interactive Correction to Manual Grading Tasks;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2018

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