A New Intelligent System for Predicting Gender from Fingerprint

Abstract

This paper proposes a new method for predicting genders from only fingerprints based on Artificial Neural Network (ANN) model. The modelling tasks are achieved by capturing fingerprints, analyzing an obtained fingerprint part (for example cropping 5x5mm part from a fingerprint image), determining ridges crossed by the diagonal of the obtained fingerprint part automatically, finding the ridge counts, ridge thicknesses, average fingerprint ridge counts of individuals, combining these features in a model, preparing and setting the structure of it and finally testing the model. The results of proposed model have shown that the best model achieves the task within 72% accuracy.

Keywords

• biometrics
• fingerprint
• gender prediction
• intelligent system
• ridge density
• biyometri
• parmak izi
• cinsiyet tahmini
• zeki sistem
• tepe yoğunluğu