A Novel Computer Vision Model for Recognition and Evaluation of Mathematical Equations using Deep Learning Technique

Shaun Oommen Alexander, Chitresh Kansal, Devang Mehrotra, Rohit P, Shashank Mouli Satapathy
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引用次数: 0

Abstract

Most classes have been shifted to an online mode of education including primary education. Teachers can be in charge of multiple students and having to evaluate the answer sheets of these many students can be hard after a long day of work. Our system aims to automate this evaluation process by taking into consideration all the current practices followed by teachers and students so that our solution can be optimal for use as soon as possible. We have taken into consideration the use of apps that scan answer sheets. We aim to create a system that can take these scanned images, evaluate them and output a CSV sheet with the grades assigned to each student so the faculty can quickly go through it. For ease of understanding, the system will also output the images with the correct and wrong answers highlighted accordingly.
一种基于深度学习技术的数学方程识别与评估的新型计算机视觉模型
包括初等教育在内的大部分课程都转向了在线教育模式。老师可能负责多个学生,在一天的工作后,不得不评估这么多学生的答卷是很困难的。我们的系统旨在通过考虑教师和学生遵循的所有当前实践来自动化评估过程,以便我们的解决方案可以尽快优化使用。我们已经考虑使用扫描答题卡的应用程序。我们的目标是创建一个系统,可以获取这些扫描图像,对它们进行评估,并输出一个CSV表格,其中包含分配给每个学生的分数,以便教师可以快速浏览它。为了便于理解,系统还会输出相应高亮显示正确和错误答案的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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