Toeprint class distribution analysis

Abstract

Toeprints may be used in place of fingerprints for leprosy patients who may not have good fingerprints to recognise or vote with. To minimise the average matching period, the Toeprint or fingerprint must be classified into different groups. From 140 individual lepers from nine colonies, 1183 successful toeprints were taken. The 140 individuals Toeprints were meant to be 1400; however, due to the poor toes on certain individual lepers, the number was reduced to what it is today (1183). For the experiment, the Toeprints were scanned at 600 dpi 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. Toeprints had the following characteristics: double loop, left loop, right loop, whorl, arch, and tented, much like fingerprints. The population of the Lepers toeprint loop is 73.54 percent, led by whorls with a population of 27.9 percent, the lepers arch with a population of 10.8 percent, and the tented arch with a population of 2.9 percent, arch's party is the least. Toeprints, including fingerprints, include features that can be used to identify a person.