Noise removal from printed text and handwriting images using coordinate logic filters

In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters and their associated Coordinate Logic Operations (CLOs) are widely used in common practical image process applications like noise removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling. Using coordinate logic filters increases the efficiency, simplicity and more than all the programs speed compared to morphological filters. Unlike other methods like applying Wiener filter or Median filter that are dependent to the noise applied (Gaussian or salt & pepper noise) and to the type of the input image, (handwritten text images or printed text images) coordinate logic filters are not only independent to these variations but also on the other hand accurate and fast.