Dorsal Hand Vein Biometric Systems: A Survey on Methods, Applications, and Future Directions
Yazarlar (2)
Seda Karkacıer
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/AICCONF64766.2025.11064271 | ||
| Kongre Adı | 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF) | ||
| Kongre Tarihi | 13-06-2025 / 14-06-2025 | ||
| Basıldığı Ülke | Çek Cumhuriyeti | Basıldığı Şehir | Prague |
| Bildiri Linki | https://doi.org/10.1109/aicconf64766.2025.11064271 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| With the increasing demand for security, biometric identification systems have gained significant importance in recent years. Traditional authentication methods (such as passwords, PINs, and access cards) suffer from security vulnerabilities, making biometric approaches more reliable alternatives. This review study focuses comprehensively on dorsal hand vein (DHV) biometrics. Due to the subcutaneous positioning of the veins, DHV patterns are highly resistant to forgery and offer high accuracy thanks to their individual uniqueness and temporal stability. The study examines key processes such as near-infrared imaging of vein patterns, preprocessing techniques, region of interest (ROI) extraction, and vein segmentation. Moreover, modern feature extraction methods, including Gabor filters, PCA, LBP-based approaches, Curvelet transform, and convolutional neural networks (CNNs), are discussed, along with … |
| Anahtar Kelimeler |
| biometric authentication | dorsal hand vein biometrics | feature extraction | image preprocessing | near-infrared imaging |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 1 |