Prediction of Nasolabial Distance using Thumbprint Ridge Density among the Hausa Population of Nigeria

Abstract

www.nauss.edu.sa http://ajfsfm.nauss.edu.sa Arab Journal of Forensic Sciences & Forensic Medicine ture the facial images. Pearson's correlation analysis was used to measure the linear dependence between thumbprint ridge density and Nasolabial distances. Stepwise linear multiple regression analysis was used to predict nasolabial distances from thumbprint ridge density. SPSS statistical software version 20 was used for the statistical analysis and a p-value of < 0.05 was set as a level of significance. Results showed that in males left proximal ridge count correlates negatively with nasal length, philtrum length, upper lip length and mouth width. The upper lip length and nasal width correlate negatively with left ulnar ridge count and right radial ridge counts, respectively. A positive correlation was observed between ulnar ridge count with nasal length and lower vermilion width. In females, a positive correlation was observed only between lower vermilion width and left proximal ridge counts. Left proximal ridge counts predict most of the nasolabial distances in