DefinePK

Abstract

Tamil Text detection in natural scene picture is an important requirement for many content-based image analysis tasks. I propose an accurate and robust method for detecting Tamil texts in natural scene pictures. A fast and effective pruning algorithm is designed to extract Maximally Stable Extreme Regions (MSERs) as character candidates using the strategy of minimizing regularized variations. Character candidates are merged into text candidates by the single link clustering algorithm, where distance weights and clustering threshold are learned automatically by a novel self-training distance metric learning algorithm. The posterior probabilities of text candidates corresponding to non-text are estimated with a character classifier; text candidates with high non-text probabilities are eliminated and texts are identified with a text classifier. In this application the documents will be scanned as images and once the image is scanned the data from the image is extracted automatically and will be shown in the application as text. Then the text message is given to the translator tool which will convert the Tamil text into English Text message.