A Comparison of Various Edge Detection Techniques for Kannada Text Image Document

Abstract

Recent developments in Kannada text matching have brought a new research field in image processing which comprises Kannada text matching using edge detection techniques. The principal aim is to identify the edges of the given Kannada text from given Kannda text image. Edge detection is the part of segmentation in image processing. The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. The edge function is used to detect edges, which are those places in an image that correspond to text boundaries. To find edges this function looks for places in the image where the intensity changes rapidly. Edge returns a binary image containing 1's where edges are found and 0's elsewhere. Different edge detection methods Sobel, Prewitt, Roberts, Laplacian of a Gaussian (LOG),Zero Cross, & Canny are applied on Kannada text images. The application of this method is to detect the edges by using different types of edge detection techniques for Kannada text image . The results are analyzed compared & evaluated through the visual inspection Method