Design And Implementation Of Answer Sheet Optical Mark Recognition System For Mobile Terminal

The traditional manual marking method not only increases the burden on teachers,but also does not help teachers to collect students' test results.The rapid development of digital image processing technology,the emergence of a variety of domestic and international automatic marking system,such as optical mark recognition system and scanned images marking system based on image processing technology.Although the traditional automatic marking system has a high recognition rate,it has disadvantages such as relatively high cost of marking and low degree of customization of the answer sheet format.Now it is widely used in medium and large-scale examinations.With the rapid development of hardware and software technologies for mobile devices,today's mobile devices also have the ability to run image processing algorithms.With the popularity and portability of mobile devices,the answer sheet optical mark recognition system for mobile terminal is conducive to the promotion of automatic marking in small-scale examinations,thereby reducing the workload of teachers and promoting the student performance management information.The system can also be applied to information input scenes such as questionnaires,psychological tests,and medical data.The system has a certain application prospect.So this paper analyzes the function of the traditional automatic marking system,and designs the operation flow and system framework of the mobile end marking system,according to an in-depth study of he image processing technology and iOS application development technology.This paper uses the Open CV library to develop an answer sheet optical mark recognition app for iOS operating system.This paper separately researches and uses the grayscale,binary image processing,digital image denoising,edge detection,contour searching,perspective transformation algorithms in image processing technology and interface construction,data persistence,multi-threading programming,MVC design pattern,multimedia programming,memory management techniques in iOS development technology to develop the answer sheet production module,answer sheet image-collecting module,answer sheet recognition module,answer sheet scoring module.Finally,the software is tested for functionality and performance.The software test results show that the software not only meets the pre-designed functional requirements,but also runs smoothly on most devices.In the case of normal operating situation,simply aligning the camera with the answer sheet will immediately complete the recognition process and display the results.The accuracy of the options identifying will be close to 100%.The system developed in this paper can not only customize the answer sheet style,but also can reduce the cost of automatic marking with a high recognition rate.It is very suitable for small-scale test scenarios such as classroom testing,and is conducive to the teacher's collection of students' test results from different dimensions.It will provide a reference for students' future study plans.Therefore,the system implemented in this paper has played a role in promoting the development of automatic marking system technology for mobile terminal.