Using OMR for Grading MCQ-Type Answer Sheets Based on Bubble Marks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35644-5_32
Reference11 articles.
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3. de Elias, E.M., Tasinaffo, P.M., Hirata, R.: Optical mark recognition: advances, difficulties, and limitations. SN Comput. Sci. 2(5), 1–13 (2021). https://doi.org/10.1007/s42979-021-00760-z
4. Communications in Computer and Information Science;O Espitia,2019
5. Ha, T., Thu, N.: An application of image processing in optical mark recognition. Vietnam J. Agric. Sci. 3, 864–871 (2020). https://doi.org/10.31817/vjas.2020.3.4.09
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