Fingerprint recognition enhanced by orientation information: A modular image processing approach

Year 2026, Volume: 15 Issue: 1, 1 - 1

Mehmet Alkaner , Alperen Eroğlu

Abstract

Fingerprint recognition systems have gained importance in many areas such as forensics and cybersecurity due to their reliability in biometric authentication. This study develops a holistic analysis approach that provides solutions to the difficulties encountered in processing low-quality and distorted fingerprint images. The proposed system consists of basic stages such as preprocessing, segmentation, orientation mapping, binarization and minutiae extraction. Gabor filters developed to increase the image quality were used and detailed analyses based on orientation maps were performed. The developed minutiae detection model was tested on FVC2002 and FVC2004 datasets with 96.8% and 95.3% accuracy rates, respectively. The high performance it shows especially on low-resolution and distorted data reveals the robustness of the system. In addition, the user-friendly graphical interface has made the process more interactive and accessible. This study provides a reliable, flexible and high-performance solution in fingerprint analysis and makes an effective contribution to forensic applications.

Keywords

Image Processing , Ridge Orientation , Feature Extraction , Fingerprint Analysis , Post-Processing

Yön bilgisi ile güçlendirilmiş parmak izi tanıma: Modüler bir görüntü işleme yaklaşımı

Abstract

Parmak izi tanıma sistemleri, biyometrik kimlik doğrulamada güvenilirliği sayesinde adli bilişim ve siber güvenlik gibi birçok alanda önem kazanmıştır. Bu çalışma, düşük kaliteli ve bozulmuş parmak izi görüntülerinin işlenmesinde karşılaşılan zorluklara çözüm sunan bütünsel bir analiz yaklaşımı geliştirmektedir. Önerilen sistem; ön işleme, segmentasyon, yönelge haritalama, ikilileştirme ve minutiae çıkarımı gibi temel aşamalardan oluşmaktadır. Görüntü kalitesini artırmak için geliştirilmiş Gabor filtreleri kullanılmış ve yön haritalarına dayalı detaylı analizler gerçekleştirilmiştir. Geliştirilen minutiae tespit modeli, FVC2002 ve FVC2004 veri setlerinde sırasıyla %96.8 ve %95.3 doğruluk oranlarıyla test edilmiştir. Özellikle düşük çözünürlüklü ve bozulmuş verilerde gösterdiği yüksek performans, sistemin dayanıklılığını ortaya koymaktadır. Ayrıca kullanıcı dostu grafik arayüz, süreci daha etkileşimli ve erişilebilir hale getirmiştir. Bu çalışma, parmak izi analizinde güvenilir, esnek ve yüksek performanslı bir çözüm sunarak adli bilişim uygulamalarında etkili bir katkı sağlamaktadır.

Keywords

Görüntü işleme , İz yönü , Özellik çıkarma , Parmak izi analizi , Son işleme

Ethical Statement

Yazarların bu çalışma için beyan ettiği herhangi bir çıkar çatışması yoktur. Bu çalışma, Dr. Öğr. Üyesi Alperen Eroğlu danışmanlığında Necmettin Erbakan Üniversitesi Mühendislik Fakültesi Endüstri Mühendisliği Bölümü öğrencisi Mehmet Alkaner’in yüksek lisans tezinden üretilmiştir. Çalışmamızın tüm süreçlerinin araştırma ve yayın etiğine uygun olduğunu, etik kurallara ve bilimsel atıf gösterme ilkelerine uyduğumuzu beyan ederiz.

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