A RECURSIVE THRESHOLDING TECHNIQUE FOR IMAGE SEGMENTATION

In this correspondence, we present a general recursive approach for im age segmentation by extending Otsu's method. The new approach has been implemented in the scope of document images, specifically real-life b ank checks. This approach segments the brightest homogeneous object fr om a given image at each recursion, leaving only the darkest homogeneo us object after the last recursion. The major steps of the new techniq ue and the experimental results that illustrate the importance and the usefulness of the new approach for the specified class of document im ages of bank checks will he presented.