Fingerprint Based Male-F Female Classi emale Classification

摘要

Male-female classification from a fingerprint is an important step in forensic science,anthropological and medical studies to reduce the efforts required for searching a person. Theaim of this research is to establish a relations relationship between gender and the fingerprint using somehip special features such as ridge density, ridge thickness to valley thickness ratio (RTVTR) andridge width. Ahmed Badawi et. Al. showed that male-female classification can be done correctlyupto 88.5% based on white lines count, RTVTR & ridge count using Neural Network as Classifier.We have used RTVTR, ridge width and ridge density for classification and SVM as classi- fier.We have found male-female can be correctly classified upto 91%.