Statistical Analysis of Ridge Densities in Fingerprint as a Parameter for Identification of Sex

Journal Title: Journal of Medical Science And clinical Research - Year 2018, Vol 6, Issue 10

Abstract

Introduction: Study of fingerprint is known as Dactylography. It is the process of taking impression of papillary ridges of the fingertips. Objective: The present study is based on Dactylography in which ridge densities in fingerprints is studied as a parameter for identification of sex. Material and Method: The study was conducted on 500 healthy people (250 male and 250 female) between ages of 18 and 60 years. Fingerprints were taken using Glass slab inking roller method. The type of fingerprint pattern and ridge density in these patterns was analyzed for sex identification. Results: The loop pattern of fingerprint was found in in majority (61.20%) of cases. This study also revealed that fingerprint ridge density in female is 13.42 in comparison to male 11.97. Conclusion: The highest frequency of fingerprint pattern among male and female is Loop (61.20%), and Ridge density in female is more than male.

Authors and Affiliations

Aman Kumar

Keywords

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  • EP ID EP511615
  • DOI -
  • Views 36
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How To Cite

Aman Kumar (2018). Statistical Analysis of Ridge Densities in Fingerprint as a Parameter for Identification of Sex. Journal of Medical Science And clinical Research, 6(10), 298-303. https://europub.co.uk/articles/-A-511615