• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (09): 1754-1759.

• 论文 • 上一篇    下一篇

基于字符识别的实验报告自动打分系统的设计

徐富新,黄玉秀,王洲,王晶   

  1. (中南大学物理与电子学院,湖南 长沙 410083)
  • 收稿日期:2013-04-03 修回日期:2013-06-08 出版日期:2014-09-25 发布日期:2014-09-25
  • 基金资助:

    国家自然科学基金资助项目(61178017);中南大学教改基金资助项目(JY2010A10)

Design of an automatic marking system
based on character recognition           

XU Fuxin,HUANG Yuxiu,WANG Zhou,WANG Jing   

  1. (School of Physics and Electronics,Central South University,Changsha 410083,China)
  • Received:2013-04-03 Revised:2013-06-08 Online:2014-09-25 Published:2014-09-25

摘要:

针对实验教学中实验报告成绩的录入耗时耗力以及出错率高的问题,开发了基于字符识别[1]的实验报告自动打分系统,大幅提高了数据输入的工作效率和准确率。根据图像识别原理对成绩进行特征提取,采用BP神经网络系统,改进BP算法,识别出成绩,并利用Access数据库进行存储。系统经过测试,可以应用到实验报告中学号、成绩的快速录入与存储。

关键词: 模式识别, 图像识别, 字符识别系统, 图像处理, BP神经网络

Abstract:

For the problem that the lab reports input is timeconsuming and high error rate, an automatic marking system is developed based on character recognition so as to improve the efficiency and accuracy of data input. According to the principle of image recognition, characteristic values are obtained by a series of image preprocessing. The results can be identified by the BP neural network system according to the improved BP algorithm. Access database is used to save the results. After testing, the system can support inputting and saving the lab reports quickly.

Key words: pattern recognition;image recognition;character recognition system;image processing;BP neural network