A simple approach for text segmentation in images based on curvelet transform

Text segmentation in image has become an active research area since recent decades. In this paper we present an efficient simple method to extract text regions from images possibly with complex background. The proposed method is to apply curvelet transform on an image to decompose it into set of directional sub-bands with texture details captured in different orientations and scales. Curvelets possess the main features of wavelets, namely, multi scale and time-frequency localization, but also offer a high degree of directionality and anisotropy. Instead of recognizing the edges in only horizontal, vertical & diagonal directions, the proposed system is designed to recognize the edges in multi directions taking care of text orientation. The proposed method is applied on different samples of images and encouraging results are obtained.