Create or download an image of several lines of text. Don't make the text too small and make the text lighter than the background. Extract one character from the text image and create a small image from it. Perform the correlation between the two images with the result the same size as the larger image. Note the position(s) of the maxima. (a) Do they identify the characters in the text? (b) Determine the ratio of the correlation peak corresponding to a letter and the next highest (or highest peak). (c) Normalize the correlation result by dividing it by an image created from the convolution of image of the text and a kernel the same size as your one character image, but the kernel contains all l's. (d) What is the new ratio of the correlation peak corresponding to a letter and the next highest peak. Create or download an image of several lines of text. Don't make the text too small and make the text lighter than the background. Extract one character from the text image and create a small image from it. Perform the correlation between the two images with the result the same size as the larger image. Note the position(s) of the maxima. (a) Do they identify the characters in the text? (b) Determine the ratio of the correlation peak corresponding to a letter and the next highest (or highest peak). (c) Normalize the correlation result by dividing it by an image created from the convolution of image of the text and a kernel the same size as your one character image, but the kernel contains all l's. (d) What is the new ratio of the correlation peak corresponding to a letter and the next highest peak