An Improved Fuzzy Based Algorithm for Detecting Text from Images Using Stroke Width Transform

The mounting escalation of multimedia content in information indexing and retrieval has made a high venture for extracting the text from videos. In this paper a new approach has been made using Stroke Width Transform (SWT) with intuitionistic fuzzy set theory for detecting text from images. The proposed methodology uses a fuzzy based edge detection method instead of the conventional edge detection methods. The fuzzy inference system is designed for edge detection. The edge detection is based on membership degree called hesitation degree and distance measure called intuitionistic fuzzy divergence. For text detection, SWT operator is used which tries to capture only the effectual text features. Geometric features of the text are used to differentiate between text and non-text regions of the text. The resulting system is tested on ICDAR 2003 dataset which produces promising results.