Exploring the uses of fingerprint patterns and ridge-counts in biographical associations

Herdegen, Dale W.; Loew, M.

doi:10.1109/aipr.2012.6528220

Cited by 2 publications

(3 citation statements)

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“…These typescripts are usefully employed for the study of ethnic variation, genetic and human biology. [4] Thus in the present study, an attempt is been made to evaluate the predominant fingerprint patterns in Kerala and Manipuri population.…”

Section: Discussionmentioning

confidence: 99%

“…Forensic anthropology is sated with examples detailing the dermatoglyphic differences among endogamous groups based on race, religion, geography, or caste. [4] During the past century, it has been apparent that diverse populations reveal wide variations in the frequency of fingerprints. These typescripts are usefully employed for the study of ethnic variation, genetic and human biology.…”

Section: Discussionmentioning

confidence: 99%

“…Some studies have shown that the fingerprint patterns produced reveal a population-wise dominance that is, a particular population will show a high proportion of a particular fingerprint type. [2,4] Hence, this study was aimed at determining and establishing the predominant dermatoglyphics pattern among different individuals in two different populations of India, i.e., Kerala and Manipur.…”

Section: Introductionmentioning

confidence: 99%

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Assessment and comparison of fingerprints between Kerala and Manipuri populations of India: A forensic study

Koneru¹,

Hallikeri²,

Nellithady³

et al. 2014

JCRI

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Background and Objective:The study of the epidermal ridges and the patterns formed by them is known as dermatoglyphics, a word coined by the anatomist Harold Cummins of Tulane University. The potential of fingerprints to determine sex and individual identification has been well exhibited and documented. However, few studies have been conducted using fingerprints for population identification. The objective of this study was to determine predominant fingerprint patterns in males and females in relation to Kerala and Manipuri population and also to compare the fingerprint patterns between these populations. Materials and Methods: The study sample consisted of 200 subjects, which included 100 Kerala and 100 Manipuri populations in the age group of 18-21 years. Each subject was asked to press their fingertip on the stamp pad and then to the plain chart paper to transfer the fingerprint impression. All the individuals' fingerprints were identified and classified into loops, whorls, and arches. The data were statistically analyzed using the Z-test. Results: Loops were found to be the most common fingerprint pattern among the entire study subjects. Manipuri population showed the highest frequency of loops and arches, whereas Kerala population showed more whorls. Further in our study, comparison of all fingerprint patterns between Kerala and Manipuri population revealed a significant difference for whorls and arches. Conclusion: Difference in the fingerprint patterns between Kerala and Manipuri population exists for whorls and arches. This variation in fingerprints patterns between two populations suggests further study in associating persons to groups in more number of populations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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