Detect and separate localization text in various complicated-colour image

Text detection and localization in Multi-color images is important for content-based image analysis. This conflict is occurring due to the various backgrounds, the inhomogeneous illumination, and the variations of text font, size and line orientation. In this the image is converted into grayscale image then median filter is used to discard the unwanted noise in the gray scale image. Edge detection is mentioned by using canny edge detection and sobel edge detector. Canny edge detection is used to measure edges of the horizontal and vertical axis present around the text region in gray scale image. Sobel edge detector is used to measure edges of the overall boundaries of the horizontal and vertical axis present in the grayscale image. A mask is a dark and light image of the same dimensions as the original image (or the region of interest we are working in). Group of the pixels in the mask can have therefore a value of 0 (black) or 1 (white). When executing operations on the image the mask is used to restrict the result to the pixels that are 1 (selected, active, and white) in the mask. Morphological operations are defined by moving a structuring element over a binary image to be modified in such a way that it is centered over an image pixel at some point. The process of removing certain details in an image which is smaller than certain preference shape is called Morphological image processing and the preference shape is called structuring element. The goal of the connected component analysis is to detect the large sized connected foreground region or object. This is one of the important operations in motion detection. The pixels that are collectively connected can be clustered into changing or moving objects by analyzing their connectivity. The recognition of the text region is referred to the optical Character Recognition which compares the text with databases which consists of different types of character and extracts the text and mentioned in the text notepad docum- nt.