An improved method of video text detection
This paper presents an improved video text detection method. At first, Harris corners detection is fulfilled to the original region. After confirming tbe former three text frames, this algorithm gets a suitable candidate text region according to the characteristics of these text frames and only processes candidate text region in later corner detection in order to improve detection efficiency. Then, the obtained corners are calculated by row and a local threshold is gotten based on height and density of continuous corners rows to eliminate nontext corners rows. Finally, the center location feature is employed to make sure text region further and confirm the text frames. The experiment indicates that this method has relative high detection accuracy.
video classification text detection Harris corners detection multi feature threshold values
Hua-ying Liu Wei Yuan
College of Mathematics and Computer Science, Hebei University, Baoding, China ebei Godsend High-Tech Co., Ltd
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
450-453
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）