Text Information Extraction in Colorful Scene Image Based on Mean-Shift Algorithm
Libo Zhu · Microcomputer applications · 2009
Text present in images and video contains useful information for automatic annotation Extraction of this information makes sense in research and application.The classical methods are mainly based on statistics or geometry.In this paper,the text in the images is taken as a kind of scenery not the characters.Follow this way,some semantics which constituted by scenery are taken as a kind of text The adopted algorithm to complete the intention is the Mean-Shift algorithm which is used to detect text.After detection,the characters are extracted from the text by projection segment