Soleprint Image Gabor Filtering, Extraction of Local Ridge Orientation, and Binarisation
Obaje Samuel Enemakwu
Obaje Samuel Enemakwu, (PhD) Computer Engineering Department Federal Polytechnic, Offa, Nigeria.
Manuscript received on 30 January 2021 | Revised Manuscript received on 03 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 24-31 | Volume-1 Issue-1, February 2021 | Retrieval Number:A1005011121/2021©LSP
Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Soleprint is an impression of the friction ridge of a part of the human plantar, a point on the sole of the foot adjacent to the big toe, at the flat space behind the toes, Lepers do have soleprint but mostly do not have fingerprint. The three (3) soleprint samples, a whorl, a loop and an arch were picked out of the 240 soleprint images collected from 120 lepers of 9 colonies in Nigeria, and compare with three (3) fingerprint images, a loop, a whorl and an arch, drawn from a database created in 2010 during my PhD research. The fingerprint recognition algorithm was applied to the images for comparison, with interest in finding local ridges orientation, Gabor filtering and binarization. The orientation patterns revealed that fingerprint and soleprint images belonging to same class do have their line of orientation similar. The Binarized images were discovered to contain lots of false minutiae points because of dirt and little mutilation on the foot. The fact remains that 1/10 of a portion of the entire surface is sufficient enough to conduct a match. The image can also be enhanced using a good technique for better results. The soleprint has identical features to that of the fingerprint that can produce minutiae points.
Keywords: Soleprint, Bin arisation, Double Loop, Whorl, Arch, Fingerprint, Voting.