In this paper, we explore possibilities to improve quality images by using Epipolar geometry with mat lab. The source images can give best results with the best clarity pixel to pixel achievement. The goal is make character segmentation results more reduce the need image for user interaction with the help of Epipolar geometry. We clean up isolated noise dots without removing small dots that are parts of characters. The system has been tested with real camera images or satellite images under various character conditions. We discover a set of high geometric and appearance constraints with low level the images matches' reliable matching results. We use lines because they have some advantages with respect to points, particularly in manmade environments. We cleaned dots on images estimating thresholding simultaneously with transformation method. We are closely trying to solve Mat lab scripts to clean up scanned pages from old manuscripts. To find particular character with clean noise dots from the image database sources.

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Epipolar Geometry Fundamental Matrix Thresholding Adaptive Median Filtering