Analysis of the Relationship Among 10 Fingers in Gender Predictionm from Fingerprints

Abstract

This study investigates the relationships among fingerprints and genders for all 10 fingerprints. 410 fingerprints taking from 19 females and 22 males aged between 18 and 25 years old were considered for this investigation. This is the first time comprehensive study that investigates 10 fingerprints presented to the literature for Turkish citizens. Ridge density, ridge thickness to valley thickness ratio and total ridge breadth values gained from our fingerprint database were used to classify genders. The results have shown that the gender prediction is successful for Turkish citizens. The average values for ridge density-ridge breadth-RTVTR are 13.09-36.56-0.46 for men and 14.43-37.44-0.47 for women, respectively. The gender difference for ridge density is 1.34, which is the lowest value among the other studies in the literature.

Keywords

• Fingerprint
• ridge density
• RTVTR
• ridge breadth
• gender prediction