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Implementation of an Automated Grading System for Formalized Answer Sheet Using EasyOCR

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2023, 19(2), pp.41-48
  • DOI : 10.29056/jsav.2023.06.05
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : May 29, 2023
  • Accepted : June 20, 2023
  • Published : June 30, 2023

Kim Chan 1 Yun Young-Sun 1

1한남대학교

Accredited

ABSTRACT

In this paper, we have developed an automated scoring system for structured formalized answer sheets composed of printed problem numbers and handwritten answers. In the initial stage, we performed gradient normalization to accurately recognize the problem numbers and answers, and subsequently applied the EasyOCR Framework for character recognition. Notably, we introduced a location correction algorithm to accurately detect the positions of numbers, thereby improving the detection rate from the original 70% to 100%. The number recognition model of EasyOCR originally had an accuracy of 89%, but we improved it to 93% through transfer learning. Experimental results showed that the implementation of an automatic scoring system using EasyOCR was feasible, and this system is expected to increase the efficiency of grading tasks in the educational field.

Citation status

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