International Journal of Computing and Artificial Intelligence

P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2022, Vol. 3, Issue 2, Part A

Class-based soleprint population distribution

Author(s): Obaje Samuel Enemakwu

Abstract: If victims of leprosy, accidents, or natural causes have fingerprints, they can be used for personal recognition and voting in our society. The Soleprint is an impression of the friction ridges on the whole or a portion of the sole. When a Soleprint is exposed to the identification procedure, the matching time is drastically reduced if the Soleprints are stored in en-class groups. 280 Soleprint impressions were obtained using the ink dab process for this experiment, scanned at a 600 dpi scale, and saved using the Bitmap image compression algorithm. The photographs were opened on a 21-inch panel for classification, with the fingerprint classification definition serving as a functioning algorithm. The following soleprints were discovered: double loop, left loop, right loop, and whorl. Instead of the twisted U, the Arch and Tented Arch seen on the soleprint is inverted to shape a "U." whorl was discovered to be the largest proportion of the human population, accounting for 41.43 percent. Loop comes in second with 37.14 percent, and arch (inverted) comes in last with 21.43 percent. Soleprint has characteristics similar to fingerprints and can be used to identify a person.

DOI: 10.33545/27076571.2022.v3.i2a.53

Pages: 30-34 | Views: 1607 | Downloads: 1109

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How to cite this article:
Obaje Samuel Enemakwu. Class-based soleprint population distribution. Int J Comput Artif Intell 2022;3(2):30-34. DOI: 10.33545/27076571.2022.v3.i2a.53
International Journal of Computing and Artificial Intelligence
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