Design and implementation of automatic scoring system for answer sheet based on machine vision
In order to reduce the cost of using cursor readers and realize automatic identification of answer sheets,an automatic identification system of answer sheets based on machine vision is designed and realized.Firstly,preprocessing operations such as filtering,grayscale transformation and binarization are performed on the answer sheet image.Then the Hough transform is used to achieve double line detection,based on which the answer sheet is corrected and segmented.Finally,option identification and judgment are achieved through the geometric attributes and pixel values of the filled area.The test results show that this system has a friendly interface,flexibility,easy to use,low cost,high accuracy and efficiency in answering sheet identification,and has certain application value.
NETL
NSTL
万方数据
维普
