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Paper Title: Gender Recognition System Design with help of fingerprint using Correlation and Ridge Density
Authors Name: Vandana Khatri Himthani , Rajender Singh Yadav
Unique Id: IJRTI1809017
Published In: Volume 3 Issue 9, September-2018
Abstract: The paper conducted on 200 subjects (100 males and 100 females) in the age group of 18–30 years. Ridge densities on the right- and left-hand thumbprints were determined using a newly designed layout and analyzed statistically, the proposed work results showed that females tend to have a higher thumbprint ridge density in both the areas examined, individually and combined. Applying the LR-test, the differences in the ridge densities of males and females at LoC (Left of Centre), RoC (Right of Centre) and Combined (LoC + RoC) were found to be statistically significant at p< 0.01 levels, proving the association between gender and fingerprint ridge density. Probability densities for men and women derived from the frequency distribution (at LoC, RoC and Combined) were used to calculate the likelihood ratio. Differences in the thumb ridge density can be used as an important tool for the determination of gender in cases where partial thumbprints are encountered as evidence. The work is done on MATLAB 2013b version & standard human fingerprint database is CASIA for genuine comparison.
Keywords: LoC: Left of Centre, RoC: Right of Centre, LR: Likelihood Ratio, PDF:Probability density function, ARM: Association Rule Mining
Cite Article: "Gender Recognition System Design with help of fingerprint using Correlation and Ridge Density", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 9, page no.99 - 107, September-2018, Available :
Downloads: 000819
Publication Details: Published Paper ID: IJRTI1809017
Registration ID:180474
Published In: Volume 3 Issue 9, September-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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