Segmentation of fingerprint images using the directional image

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Abstract

In this paper the concept of the directional image is introduced and its application for segmentation is presented. The directional image can be thought of as an image transform, where each pixel of the image represents direction of the local grey level uniformity.

The statistics derived from the directional image are used for the segmentation of the original image. It has been found to work better than the segmentation based on grey level statistics and other methods. This method is suited for simple images like Fingerprint and other images that consist of only background and foreground, but whose histogram may not necessarily be bimodal. The results of segmentation with the new and other methods are presented.

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