Journals / Düzce Üniversitesi Bilim ve Teknoloji Dergisi / 2019 / Cilt: 7 - Sayı: 1

A New Intelligent System for Predicting Gender from Fingerprint

Parmak İzinden Cinsiyet Tahmini İçin Yeni Bir Zeki Sistem

Pages
677–688
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of proposed model have shown that the best model achieves the task within 72% accuracy.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper proposes a new method for predicting genders from only fingerprints based on Artificial Neural Network (ANN) model.
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Key Findings & Data: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.
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Conclusion & Impact:The results of proposed model have shown that the best model achieves the task within 72% accuracy.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Biyometri · Parmak izi · Cinsiyet tahmini

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.

Özet

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.

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Cite This Article

CEYHAN, E. B., SAĞIROĞLU, Ş. (2022). A New Intelligent System for Predicting Gender from Fingerprint. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Cilt: 7 - Sayı: 1, 677–688. https://ajindex.com/articles/494447

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