Digital dermatoglyphic study in three west Algerian populations: Reguibates, Zenata, Oran

Neggaz, Leila Adda; Meroufel, Djabaria Naima; Deba, Tahria; Bekada, Asmahan; Hammadi, Mohamed; Médiène-Benchekor, Sounnia; Rosa, Araceli; Benhamamouch, Soraya

doi:10.1080/00085030.2017.1379267

Cited by 6 publications

(6 citation statements)

References 17 publications

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“…The majority of the left loops is observed in fingers of the left hand and the majority of the right loops is observed in fingers of the right hand. These findings are corroborated by previous studies . The inverted loops are relatively rare patterns and were observed only 27 times in the dataset that was used in this study.…”

Section: Resultssupporting

confidence: 92%

“…The results reported by Guttierez are based on fingerprint data from approximately 200 tenprint cards from the Spanish population . The results of the study performed by Neggaz are based on the sample of 228 tenprint cards of people from Oran, a city in Algeria .…”

Section: Resultsmentioning

confidence: 99%

“…Historically, the pattern classification is limited to the arch, loop, and the whorl. For each of these patterns, there is some frequency data available from earlier studies . The authors have tried to incorporate these earlier results in the results section of this article.…”

Section: The Need For More Measurementsmentioning

confidence: 99%

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Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set

Jongh

Lubach

Kwie

et al. 2018

Journal of Forensic Sciences

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Latent print examiners often use their experience and knowledge to reach a conclusion on the identity of the source. Their conclusion is primarily based on their personal opinion on the rarity of the matching fingerprint features. Fingerprint patterns, if present, can play a significant role in the final assessment of a match. The authors believe that statistical data on the rarity of fingerprint patterns strengthens the subjective evaluation of the corresponding information. In order to provide fingerprint examiners with additional numerical support, fingerprint patterns were manually classified in a set of 24,104 fingerprints. In this study the frequencies of occurrence of 35 different fingerprint patterns have been obtained. The frequency data presented in this study can be used in the ACE-V process applied in forensic casework, allowing for the assessment of the evidential strength related to a specific fingerprint pattern type.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 99%

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Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set

Jongh

Lubach

Kwie

et al. 2018

Journal of Forensic Sciences

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“…This data serves as the basis to assign evidential weight to fingerprint general patterns when visible on marks. They compared their results with legacy data (with less subclasses) including a recent study involving Algerian prints [ 23 ].…”

Section: Friction Ridge Skin and Its Individualization Processmentioning

confidence: 99%

Interpol review of fingermarks and other body impressions 2016–2019

Bécue

Eldridge

Champod

2020

Forensic Science International: Synergy

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“…Dermatoglyphic patterns have been reported in various populations, including Algerian [11] as well as, Mediterranean populations [12]. There are also several reports on dermatoglyphic patterns in Nigerian populations [10,13,14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Digital Dermatoglyphic Patterns of Uturu People of Abia State

Oghenemavwe

Amasiatu

Oyakhire

et al. 2022

AJMAH

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Background: Dermatoglyphics is an essential tool in population studies, identification of persons and diagnosis of diseases of genetic origin. The aim of the study was to determine the characteristics of finger dermatoglyphic patterns peculiar to Uturu indigenes of Abia State. Materials and Methods: The study was conducted among the Uturu Indigenes of Isikwuato Local Government Area of Abia State Nigeria. A total of two hundred (200) volunteers comprising 100 Males (M) and 100 Females (F) participated in the study. The fingerprints of the thumb (I), index finger (II), middle finger (III), ring finger (IV) and little finger (V) were obtained from the right and left hands using digital scanners and computers. Data were obtained for finger dermal patterns, finger ridge count (FRC) and total finger ridge count (TFRC) Analysis of data was done using Microsoft Excel Data Analysis Tool pack (2016 Edition) and Chi Square test at p>0.05 was used to determine sexual dimorphism and bilateralism. Results: The patterns observed among sampled Uturu indigenes were Arch (AR), Central pocket loop (CP.L), Double loop (DL), Spiral whorl (SP.W), Ulnar whorl (UL). Uturu people have more ulnar loops in both hands [I; (Right; R) = 55%, (Left; L = 58%), II; (R = 60%, L = 59.5%), III; (R = 75%, L = 66%), IV; (R = 63%, L = 64%), V; (R = 85%, L = 83.5%)], followed by whorls [I; (R = 25%, L = 21.5%), II; (R = 26%, L = 23%), III; (R = 18.5%, L = 20%), IV; (R = 24.5%, L = 25%), V; (R = 9%, L = 9.5%)] and arches [I; (Right; R) = 9.5%, (Left; L) = 12.5%, II; (R = 11%, L = 12.5%), III; (R = 4%, L = 9%), IV; (R = 3%, L = 3.5%), V; (R = 2.5, L = 3.5%)], while radial loop was the least observed pattern (1.5% on the left index finger). The test for bilateralism showed no significant difference in the distribution of dermal patterns in the right and left fingers. In the index finger, significant difference (P>0.05) was observed in the pattern distribution for the right between males and females. Uturu indigenes have more finger ridge count in the right thumb. Conclusion: The findings of the study will be relevant to biomedical anthropologists, Forensic Scientists and population studies experts.

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Digital dermatoglyphic study in three west Algerian populations: Reguibates, Zenata, Oran

Cited by 6 publications

References 17 publications

Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set

Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set

Interpol review of fingermarks and other body impressions 2016–2019

Digital Dermatoglyphic Patterns of Uturu People of Abia State

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