首页|基于OpenCV的答题卡识别判题系统研究

基于OpenCV的答题卡识别判题系统研究

Research on Answer Sheet Identification and Judgment System Based on OpenCV

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答题卡识别系统通过答题卡模板设计、答题卡图像采集、图像预处理、识别算法、批阅和评分等环节,实现了对答题卡进行高效、准确的识别和判题.通过测试验证,该系统具有高精度、高效性和实时性,具有较好的适应性和可扩展性,可以随着需求的增加灵活扩展和升级.相较于传统光学扫描判题系统,该答题卡识别判题系统不需要专业的光学扫描设备,仅需要普通的USB摄像头或者手机摄像头即可实现答题卡识别和判题.该系统具有更为灵活和便捷的优势.
The answer sheet recognition system in this paper achieves efficient and accurate recognition and judgment of answer sheet through the design of answer sheet templates,image acquisition,image preprocessing,recognition algo-rithms,grading,and other processes.Through testing,the system is verified with high accuracy,efficiency,and real-time performance,with good adaptability and scalability.It can be flexibly expanded and upgraded with increasing demand.Compared to traditional optical scanning systems,the answer sheet recognition and judgment system does not require pro-fessional optical scanning equipment,and only requires a regular USB camera or mobile phone camera to achieve the an-swer sheet identification and determination.This system has the advantages of being more flexible and convenient.

computer vision recognitionanswer sheet recognitionOpenCVimage processing

郭纯敏、刘伟俭

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广州城市理工学院通信工程学院,广东 广州 510800

计算机视觉识别 答题卡识别 OpenCV 图像处理

广东省普通高校重点领域研究专项

2022ZDZX1041

2024

工业控制计算机
中国计算机学会工业控制计算机专业委员会 江苏省计算技术研究所有限责任公司

工业控制计算机

影响因子:0.258
ISSN:1001-182X
年,卷(期):2024.37(3)
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