摘要
当代高校多采用半智能阅卷系统审阅试卷,使用时对试卷的识别率较低,阅卷速度慢。为提高阅卷速度和准确率,笔者提出基于图像识别技术的智能阅卷系统优化设计。通过引入图像识别扫描仪和优化电脑主机实现系统硬件优化;改进RFG算法设计和优化智能阅卷系统数据库实现系统软件设计。由实验可知,本文系统可有效提高阅卷速度和准确率。
Contemporary colleges and universities often use semi-intelligent scoring system to review test papers. When used, the recognition rate of test papers is low, and the scoring speed is slow. In order to improve the speed and accuracy of marking, an intelligent marking system based on image recognition technology is proposed. System hardware optimization is realized by introducing image recognition scanner and optimizing computer host;improving RFG algorithm design and optimizing intelligent scoring system database to realize system software design. Experiments show that the system can effectively impr ove the marking speed and accuracy.
作者
李莹
任日丽
Li Ying;Ren Rili(College of Information Engineering,Changsha Medical University,Changsha Hunan 410000,China)
出处
《信息与电脑》
2019年第9期115-116,共2页
Information & Computer
基金
图像识别技术在智能阅卷系统中的应用研究(项目编号:16C0195)
基于Adaboost算法的人脸识别技术研究(项目编号:18C1154)
关键词
图像识别技术
智能阅卷
系统优化
扫描仪
image recognition technology
intelligent scoring
system optimization
scanner
