A Character Recognition Approach Based on Feature Line Necessary-Sufficient Condition Detection
Affiliation:

  • Article
  • | |
  • Metrics
  • |
  • Reference [4]
  • |
  • Related [20]
  • |
  • Cited by [4]
  • | |
  • Comments
    Abstract:

    The performance of a character recognition system depends heavily on what features are being used. In this paper, an optical character recognition method based on match of feature lines is presented. By extracting the feature lines from bitmap of character and detecting the necessary-sufficient condition with templates by baseline superposed, this method carries out the recognition with a very high efficiency. The process of selecting and adjusting the feature lines from template is also described. Then, a new way for collating is proposed. By the hand of dispalaying skeletons of recognized characters that overlap the original bitmap,this method makes finding errors easier.Finally,the performance evaluation based on comparison is given.

    Reference
    [1] Liu, Mei-lan, Yao, Jing-song. Audit trail and intrusion detection. Computer Engineering and Applications, 1999,35(7):12~15. 刘美兰,姚京松.审计跟踪与入侵检测.计算机工程与应用,1999,35(7):12~15.
    [2] Durst, R., Champion, T., Witten, B., et al. Testing and evaluating computer intrusion detection systems. Communications of the ACM, 1999,42(7):53~61.
    [3] Halflife. Linux TTY hijacking. Phrack Magazine, 1997,7(50):5~5.
    [4] Plaguez. Weakening the Linux kernel. Phrack Magazine, 1998,8(52):18~18.
    Comments
    Comments
    分享到微博
    Submit
Get Citation

李佐,王姝华,蔡士杰.基于特征行必要-充分性匹配的字符识别方法.软件学报,2002,13(1):85-91

Copy
Share
Article Metrics
  • Abstract:3737
  • PDF: 5640
  • HTML: 0
  • Cited by: 0
History
  • Received:March 21,2000
  • Revised:August 12,2000
You are the first2032654Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063