A New Method to Extract Text from Natural Scenes

This paper presents a new method for text detection, location and binarization from natural scenes. Several morphological steps are used to detect the general position of the text, including English, Chinese and Japanese characters. Next bonnding boxes are processed by a new “Expand, Break and Merge” （EBM） method to get the precise text areas. Finally, text is binarized by a hybrid method based on Otsu and Niblack. This new approach can extract different kinds of text from complicated natural scenes. It is insensitive to noise, distortedness, and text orientation. It also has good performance on extracting texts in various sizes.     

数字网端口与调制器的连接及常见故障处理研究

结合金融、保险行业的实际应用,介绍数字数据网端口连接中调制解调器同步时钟选择方式、DDN端口的时钟设置和常见问题的解决方法,为相关连接提供了借鉴。