Design And Implementation Of Examination Paper Intelligent Assistant Marking System

In recent years,with the rapid development of computer technology,the network test paper review system has become an important auxiliary tool for schools in the teaching process.The online scoring system makes the paper review process more flexible in time and space by using the online method.With the deep application of artificial intelligence technology,the network marking system will evolve toward the direction of automated evaluation.It can not only replace the marking teachers for quick review of some questions,reduce labor costs,but also effectively improve the fairness of marking.In order to make the process of examination marking more efficient and the business process more scientific,the research of online automated network marking system is of great significance.This paper studies the design and implementation of the intelligent auxiliary marking system that does not contain the answer sheet type test paper in the actual teaching.Through the network survey,it is learned that in addition to the large-scale examinations,all colleges and universities do not set corresponding answer cards for the examination papers.During the actual examination,students fill in the personal information and answers directly on the examination papers.Therefore,for this kind of examination,this article uses the scanner,or camera to capture the image of the student examination paper,and then the image preprocessing,segmentation,recognition,and finally use the B / S architecture to achieve an automated auxiliary review system for the examination paper.After many experiments,the results show that the auxiliary marking system designed and implemented in this paper can replace the actual marking process.Image preprocessing can well handle the noise that occurs during the process of collecting test paper images.The image segmentation method can be used to slice the test papers.The image recognition scheme can accurately identify the student's personal information and non-answer questions.Handwritten recognition of card form multiple choice questions and judgment questions.Finally,the quantitative analysis of the experimental results shows that the intelligent auxiliary marking system designed in this paper has certain use value and reference value for the examination of ordinary examinations.