【摘要】 针对光电式阅卷机价格昂贵,使用成本高,设备利用率低、维护困难的缺点,介绍了一种采用数字图像处理技术,分析、理解答题卡图像,正确提取考试信息,结合数据库技术实现智能阅卷和成绩统计的新方法.首先对答题卡图像进行纠斜、定位、分割等预处理,然后通过比较答题卡图像中各选项的平均灰度值大小,不仅能识别出正确选项,而且能识别出错选、重选、漏选等选项.实验表明用此法实现客观题阅卷具有硬件价格低,使用成本低、设备利用率高、无需维护、阅卷速度快的优点,具有极大的推广应用价值.更多还原

【Abstract】 Aiming at the disadvantages of the high price and using cost,the low efficiency,the difficulty in maintaining of the light electricity grading machine,the paper introduces a new method that using the digital image processing technique to analyze and comprehend the image of a answer card and to extract the examination information accurately,and integrating the database technique to realize the intelligent grading and grade statistics.First,the image to be pretreated such as calculating gradient,location and division.Then,not only can we identify right options,but also can identify wrong options,repeating options and missing options by comparing their average gray value of each option of the answer card.The experiment indicates that it has following advantages such as low hardware price and low using cost,high equipment efficiency,high grading speed and it need little maintenance by using this method to realize the grading of objective test questions,which has great popularization and application value.更多还原