期刊文献+

基于图像处理的客观题自动阅卷系统研究开发

Research of Objective Examination Paper System Automatically Marking Based on Image Processing
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摘要 在高校期末阅卷过程中,试卷的人工批改仍是非常繁重的工作。文中采用数字图像处理方法以VS.net2005为开发平台、以SQLSERVER2000为数据库后台构建了试卷客观题自动识别系统,拚弃了答题卡的限制,实现了通过数码相机获取试卷样本直接识别的方式,主要包括试卷样本图像预处理、字符定位与分割、特征提取、样本训练和识别与成绩统计管理等5个模块。客观题试卷图像的识别主要是针对图像中的手写体学号字符和答案字符进行处理、分析和识别。通过实验表明取得了较好的效果。 During the final exam marking, paper artificial marking is saili very arduous work. It adopts the method of digital image process- ing and takes the VS. net2005 as the platform, SQLSERVER2000 as database to construct the objective exam automatic marking system, it avoids the limit of the card and recognises the exam papers directly by exam paper sample with digital camera, which includes the sam- pie image preprocessing, character positioning and segmentation, feature extraction, sample training and recognition grade statistical man- agement etc. This system is mainly processing the image of the handwritten number character and answer character and the experimental results show that the system is better.
出处 《计算机技术与发展》 2012年第7期242-244,248,共4页 Computer Technology and Development
基金 河南省科技计划重点项目(112102210333) 平顶山学院中青年骨干教师专项(201138012) 平顶山学院高层次人才科研启动经费(2008016)
关键词 数字图像处理 客观题自动识别 成绩统计管理 digital image processing objective exam automatic marking grade statistics and management
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