The Research and Realization of Formal Description and Digital Image Processing Technology Based on the Online Score System
|Keywords||Online marking system Z language Digital Image Processing MVC|
In recent years, computer technology, network technology, image processing technology, a profound impact on all aspects of the field of Education Examination . Now education is undergoing enormous changes, while the focus of education examinations , but also pay more attention to the students awareness of innovation and practical ability of the test, the number of papers in the subjective questions greatly increased, but susceptible to subjective questions of various factors reviewers impact is difficult to guarantee the fairness test . Paperless online marking error control using the principle of the scores given by teachers conducted several assessment averaging method to avoid because of the negligence of a teacher marking give the wrong score , thus ensuring the exam open, fair and impartial . However, online marking requires advance candidates questions digitized and stored in the corresponding computer system , through the digitized papers information segmentation, segmentation process to isolate a single exam , but also the need for objective questions section for automatic marking . If these problems early , it will seriously affect the entire marking process and the quality of marking . Which of the candidates , will result in different levels of social impact . Therefore, in the development of online marking system is necessary for marking the pre-treatment work attention. This paper mainly work in the following areas : ( 1 ) use a system based on Z language requirements specification describes techniques to core modules of the system requirements specification is described to improve the online marking software system reliability. ( 2 ) with a mature design of the MFC framework and through a variety of digital image processing technology comparison , the final choice more appropriate digital image processing technology to achieve the image pre-processing and automatic marking objective questions . Developed based on C / S mode data source subsystem. ( 3 ) using B / S structure , combined with the MVC pattern , DAO pattern, plant mode , completed the objective questions troubleshooting and correction module . To improve the performance of the database server , the connection pool technology has been optimized to ensure maximum server performance has been played .