Fingerprint White Line Counts: An Upcoming Forensic Tool for Sex Determination

Abstract

Abstract Fingerprints are one of the common forensic tools used in personal identification. However, the associated secondary epidermal creases of fingerprints, fingerprint white line count (FWLC), has received less attention within the forensic community. This study was conducted with an aim to determine the potential of FWLC in sex inference among adult Nigerians. A cross sectional study was carried out with 150 males and 150 females with age range of 18-30 and 18-33 years, respectively. Live scanner (Digita persona, China) was used to capture the plain fingerprint for FWLC. Mann Whitney, Kruskal Wallis and logistic regression analyses were employed for determination of digit variation (based on side and type), sexual dimorphism and prediction models, respectively. Likelihood ratio and posterior probability were used to determine the favour odd for sex inference from FWLC. A significant higher mean value of FWLC was observed in females (2.24 ± 2.03) compared to males (0.85 ± 1.29). Absence of white line was indicative of male origin in all the digits except for left index digit (favor odd of 0.72 for females and 0.29 for males). However, FWLC from 5 to 11 were more likely to be of female origin. The best discriminator of sex was the left FWLC with a percentage accuracy of discrimination of 72%. The percentage contribution of the left FWLC in the discrimination of the sexes was observed to range from 23.0 to 30.20%. The FWLC was found to be a potential predictor of sex among adult Nigerians of Hausa ethnic origin.

Keywords

• forensic science
• identification
• fingerprint
• white line counts
• sex inference.