Gender Determination Using Fingerprints In the Region of Uttarakhand
Lalit Kumar, Sandeep Agarwal, Amit Prabhakar Pratap, Rajesh Garg, VK Mishra
Abstract
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Lalit Kumar, Sandeep Agarwal, Amit Prabhakar Pratap, Rajesh Garg, VK Mishra
Abstract
Open-access reader
This study was conducted with an aim to establish a relationship between sex and fingerprint ridge density in Uttarakhand.The fingerprints were taken from 250 subjects (125 males and 125 females) in the age group of 18-60 years.After taking fingerprints, the ridges were counted in the upper portion of the radial border of each print for all ten fingers, and mean value was calculated.The results have shown that a finger print ridge of < 12 ridges/25 mm2 are more likely of male origin and finger print ridge of > 14 ridges/25 mm2 are more likely of female origin.The study suggests that there are significant differences in epidermal ridge density between males and females and also support the hypothesis that women tend to have a statistically significant greater ridge density than men.This study will provide additional information for the fingerprint examiners in analyzing finger impressions and narrowing down an investigation involving a large number of samples.
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This study was conducted with an aim to establish a relationship between sex and fingerprint ridge density in Uttarakhand.The fingerprints were taken from 250 subjects (125 males and 125 females) in the age group of 18-60 years.After taking fingerprints, the ridges were counted in the upper portion of the radial border of each print for all ten fingers, and mean value was calculated.The results have shown that a finger print ridge of < 12 ridges/25 mm2 are more likely of male origin and finger print ridge of > 14 ridges/25 mm2 are more likely of female origin.The study suggests that there are significant differences in epidermal ridge density between males and females and also support the hypothesis that women tend to have a statistically significant greater ridge density than men.This study will provide additional information for the fingerprint examiners in analyzing finger impressions and narrowing down an investigation involving a large number of samples.
Key concepts: Ridge, Finger print, Dermatoglyphics, Fingerprint (computing), Mathematics, Value (mathematics), Statistics, Biology