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首页> 外文期刊>Advanced Science Letters >Information Extraction of Optical Answer Sheet (LJK) Based on Image Processing Using Smartphone Camera
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Information Extraction of Optical Answer Sheet (LJK) Based on Image Processing Using Smartphone Camera

机译：基于使用智能手机相机的图像处理的光学答案表（LJK）的信息提取

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摘要

The use of Optical Answer Sheets (LJK) has become increasingly common in various educational institutions, non-governmental organizations, governmental organizations, and private enterprises. 2B pencils are typically used to indicate the answer selected in an LJK. There are many methodsto scan an LJK that usually consist of a computer program (software) and a scanner. However, the increasingly widespread use of laptops and smartphones with a built-in camera can offer new possibilities for scanning without the use of a scanner. This paper presents a simple and innovativemethod to scan an LJK, i.e., using a built-in camera in smartphones to take an LJK image and a laptop to run the information extraction algorithm. First, the LJK image captured was extracted to display the Red component of RGB color space. Next, the Red component quality was improved usingcontrast stretching before converted into a binary image. The Mathematical Morphology operation of opening and closing was then applied to remove artifacts. Last, a simple grading algorithm based on geometrical position was applied to compare answer key and submitted answer from participant.The proposed method was tested using 60 LJK image samples and the results indicated that the scanning accuracy was 100% and the average computational time was 1.42 seconds, thus 11.5 times faster than the results of the previous study. Furthermore, the proposed method was also able to extractinformation from an LJK although test takers did not fill the LJK using a 2B pencil.
机译：在各种教育机构，非政府组织，政府组织和民营企业中，使用光学答案表（LJK）已经越来越普遍。 2B铅笔通常用于表示在LJK中选择的答案。有许多方法扫描LJK通常由计算机程序（软件）和扫描仪组成。然而，越来越广泛地使用带内置相机的笔记本电脑和智能手机可以提供新的扫描可能性，而无需使用扫描仪。本文介绍了一个简单而创新的扫描LJK，即，使用智能手机中的内置摄像机进行LJK图像和笔记本电脑来运行信息提取算法。首先，提取捕获的LJK图像以显示RGB颜色空间的红色分量。接下来，在转换成二值图像之前，使用Confltrast拉伸改进了红色分量质量。然后施加打开和关闭的数学形态学操作以去除伪影。最后，应用了一种基于几何位置的简单分级算法来比较答案密钥并从参与者提交答案。使用60 LJK图像样本测试了所提出的方法，结果表明扫描精度为100％，平均计算时间为1.42秒，因此比以前研究的结果快11.5倍。此外，该方法还能够从LJK中提取信息，尽管测试员没有使用2B铅笔填充LJK。

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