Text Extraction using Morphological Operation and DWT from images

Abstract: Extraction of text from images is important and it is challenging task. This is used in many applications like license plate detection, recognition of object and retrieving of the document etc. In recent year it became one of the challenging and important tasks. In this paper, in first phase colour image is converted into gray scale and applied the median filter to remove noise from image and morphological open operation is performed. And then image is divided into blocks. Then applied discrete wavelet transform for the feature extraction. Threshold is applied to separate text blocks and non text blocks of the images, then merge all text blocks. Finally text is extracted from images.

Keywords: Text Detection, Text extraction, Image Processing, Wavelet features.