A New Intelligent System for Predicting Gender from Fingerprint

Year 2019, Volume: 7 Issue: 1, 677 - 688, 31.01.2019

Eyüp Burak Ceyhan Şeref Sağıroğlu

https://doi.org/10.29130/dubited.468446

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

Parmak İzinden Cinsiyet Tahmini İçin Yeni Bir Zeki Sistem

Abstract

Bu makale, sadece parmak izlerinden cinsiyetlerin tahmin edilmesi için Yapay Sinir Ağları (YSA) modeli tabanlı
yeni bir metod önermektedir. Modelleme işlemleri parmak izlerinin alınması, elde edilen bir parmak izi
bölümünün (örneğin 5x5mm) farklı boyutlarının analiz edimesi, köşegen çizgisinin çizilmesi, köşegen çizgisi
üzerindeki tepe çizgilerinin otomatik belirlenmesi, tepe sayılarının hesaplanması, tepe kalınlığı ve bireylerin
parmakizi ortalama tepe sayılarının bulunması, bu özniteliklerin bir model içerisinde birleştirilmesi, bunun
yapısının hazırlanması ve ayarlanması ve son olarak modelin test edilmesi ile elde edilmektedir. Önerilen
modelin sonuçları en iyi modelin %72 başarıyla elde edildiğini göstermektedir.

Keywords

Biyometri, Parmak izi, Cinsiyet tahmini, Zeki sistem, Tepe yoğunluğu

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