Subjecting soleprint to fingerprint recognition algorithm treatment

Abstract

This experiment was carried out to demonstrate that a Soleprint would easily substitute a fingerprint for identification and voting purposes for leprosy patients, injury victims, and natural causes who have no fingerprints. The fingerprint recognition algorithm was used throughout the experiment to conduct preprocessing stages such as segmentation, normalization, Gaussian blurring, noise reduction, Canny, Orientation, Binarization Thinning, Gabor Filtering, and Minutiae Extraction. These stages were performed on a Soleprint image and a Fingerprint image with the same properties of 8-bit grey-level, 600-dpi resolution, and scale 256 pixels, all in bitmap image compression format. Since the experiment was not designed to assess recognition algorithms, computation time was not considered. When the findings were compared, it was discovered that the algorithm has the same impact on both photos (Soleprint and Fingerprint, both whorl in class) and that the minutiae points are the basis for matching a fingerprint in today's trend, are also present on the Soleprint. A modern method of self-identity and voting for lepers and injury patients is now accessible.