TEXT DETECTION BASED ON WAVELET TRANSFORM

摘要：

In this paper, an algorithm is proposed which can automatically detect text embedded in images and video frames in different sizes, fonts and colors .It is performed by these steps: Firstly, it performed wavelet transform in different color channels; Secondly, a sliding window is moved over the transformed images, estimate feature vector of each window; then the k-means algorithm is chosen to classify the image into text candidates and background. Finally, the detected text candidates undergo the connectedcomponent- based analysis to refine their location.

关键词： tezt detecting wavelet transform feature vector k-means

作者: Jie He Fei Gao Qing Nie

作者单位: Information College, Beijing Institute of Technology, Beijing 100081, China

会议类型: 国际会议

会议名称: China-Ireland International Conference on Information and Communications Technologies 2008(2008 中国-爱尔兰信息与通信技术国际会议 CIICT 2008)

会议地点: 北京

会议语种:英文

页码: 1-3

在线出版日期: 2008-09-26（万方平台首次上网日期，不代表论文的发表时间）