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Determination of Gender Differences from Fingerprints Ridge Density in Two Northern Indian Population of Chandigarh Region | OMICS International | Abstract
ISSN: 2157-7145

Journal of Forensic Research
Open Access

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Research Article

Determination of Gender Differences from Fingerprints Ridge Density in Two Northern Indian Population of Chandigarh Region

Gagandeep Singh*

Institute of Forensic Science and Criminology, Punjab University, Chandigarh, India

*Corresponding Author:
Dr. Gagandeep Singh
Institute of Forensic Science and Criminology
Punjab University
Chandigarh, India
E-mail: [email protected]

Received date: November 02, 2011; Accepted date: February 28, 2012; Published date: March 01, 2012

Citation: Singh G (2012) Determination of Gender Differences from Fingerprints Ridge Density in Two Northern Indian Population of Chandigarh Region. J Forensic Res 3:145. doi:10.4172/2157-7145.1000145

Copyright: © 2012 Singh G. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Ridge width influences the number of ridges present in a specified area of a fingerprint epidermal ridge density and several researches have been carried out on this aspect of fingerprints. The present study has been carried out to examine ridge density differences in two Northern Indian populations (Khatri and Bania). In the present study it has been found that 92% of Khatri females have a mean ridge density above 13, whereas 76% of Khatri males have (a mean ridge density) below 13, while in Bania, 100% of females have mean ridge density above 14 and 80% of males below 14. The study suggests that there are significant differences in epidermal ridge density between males and females within each of the two populations and also significant differences between the two populations. This study will provide additional information for the fingerprint examiner in analyzing finger impressions and narrowing down an investigation involving a large number of samples.

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