Classification and Recognition of Text in Static Images
International Journal for Research in Applied Science and Engineering Technology · 2018
Text detection in images is an important step to achieve multimedia content retrieval. In this paper, an efficient technique which can automatically detect, localize and extract text in images with complex backgrounds is presented. The proposed approach is based on the application of a colour reduction technique, edge detection technique, the localization and recognition of the text. The recognised text is then converted to speech. The text contains vital and useful information which is embedded in various types of documents and natural scene. The text is detected and is extracted in this way that it is readable by another person without any difficulty. This also helps visually challenged to know the textual information on the images.