Quantity and asymmetry of fingerprint white lines: forensic implication

Taura, Magaji Garba; Adamu, Lawan Hassan; Asuku, Abdullahi Yusuf; Umar, Kabiru B.; Abubakar, Musa

doi:10.1080/00085030.2020.1736812

Cited by 4 publications

(6 citation statements)

References 27 publications

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“…This study agrees with Taura et al (2020), who found statistically significant changes in fWLC in all 10 digits. Females were shown to have a higher fWLC than males.…”

Section: Discussionsupporting

confidence: 93%

“…For both sex and left or right prediction, the index and ring fingers had the best accuracy in group membership classification and prediction. The classification of group membership was in favor of males over females in all digits, and right over left (Taura et al, 2020). Taura et al (2019) found that the difference between right second and fourth digit (dR2,4) and difference between left second and fourth digit (dL2,4) for right and left hands, respectively, exhibited a sexual dimorphism phenomenon that can be used in sex prediction among Hausa population of Kano state, Nigeria.…”

Section: Discussionmentioning

confidence: 99%

“…According to Taura et al (2020), the left or right of digit should be predetermined before sex discrimination utilizing fingerprint traits like fWLC. In the same note, when statistically significant asymmetry exists between the left and right hand, stature estimation from the limbs or bones may be erroneous or invalid.…”

Section: Discussionmentioning

confidence: 99%

“…In terms of determining sex and left or right, the coefficients of discrimination of sex and left or right of digit were found to be significant for all digits except the middle ones. For index and ring digits, the variance of sex and left or right of the digits explained by fWLC asymmetry was higher (Taura et al, 2020). Previous research has shown the utility of fingerprint white line counts (fWLC) as a reliable feature for sex inference, with females having more white lines than males (Badawi et al, 2006;Taduran et al, 2016).…”

Section: Introductionmentioning

confidence: 96%

“…At the moment, research on fingerprint gender features is mostly at the conceptual stage, whereas standardization research is scarce (Qi et al, 2021). In the Hausa community, the FWLC asymmetry has potential in gender and left or right of the digit prediction, although index and ring digits were the best digits for expressing dimorphism and discrimination (Taura et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Fingerprints white line counts (fWLC): An unfolding panacea of body composition estimation among students of selected tertiary institution in Kano State Nigeria

Nasir¹,

Salisu²,

Rayyan³

et al. 2022

dujopas

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The term "fingerprint white lines (fWL)" refers to a region of ridge hypoplasia that appears as white lines in a captured fingerprint, dubbed "white lines". The aim of this work was to see if there is any sexual dimorphism in fingerprint white line count (fWLC) and body composition parameters (BCP), as well as look into the relationship between the two. The study was a cross sectional design with 300 participants. The body composition parameters were measured using a bioelectric impedance machine. The fingerprint was captured using a live scanner to determine the fWLC. Females had considerably higher metabolic age, body fat, and visceral fat. In all ten digits, statistically significant differences in fWLC were found. Females were shown to have a higher fWLC, metabolic age, body fat, and visceral fat than males. Except for percent body fat, the fWLC revealed a significant negative correlation with all body composition indices. The fWLC of the left thumb correlates with percent visceral fat while the left and right middle fWLC showed a significant correlation with metabolic age. All ten digits fWLC had a strong link with percent body fat, percent muscle mass, and resting metabolism, with the left ring and thumb fWLC having a higher correlation. Thumb, index, middle, and little fWLC of the left digit, and middle and ring fWLC of the right digit are used to calculate BMI. The greatest predictors for BMI and percent body fat were found to be the left middle and right little digits fWLC. Left ring and right middle digit fWLC were the best predictors of percentage muscle mass and metabolic ages, respectively. Both resting metabolism and percent visceral fat were best predicted by the left thumb fWLC. Finally, sexual dimorphism in relation to BCP and fWLC was discovered.

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“…This study agrees with Taura et al (2020), who found statistically significant changes in fWLC in all 10 digits. Females were shown to have a higher fWLC than males.…”

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations