Fusion of finger-knuckle-print and finger vein recognition using random forest tree
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
In this paper, we propose an identification system using multimodal fusion of finger-knuckle-print (FKP) and finger vein (FV) network by adopting several techniques in different levels for multimodal fusion. Therefore, we are proposed the Image-Level fusion and Score-Level for the fusion of these two biological traits. Where, are created optimization multimodal system by enhancing this different levels fusion. In data mining, we are based on Discrete cosine Transform (2D-DCT) for features extraction, also we are invested to use Random Forest Tree (RFT) for classified and test these statistical features. Our proposed system is given best experimental results that reflect the robustness of system.
Açıklama
Anahtar Kelimeler
Biometrics, Fusion, FKP, FV, ROI, DWT, 2D-DCT, RFT, Score-level, Image-level
Kaynak
International Conference of Mathematical Sciences (ICMS 2019)
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Chelaoua, R. ve Meraoumia, A. (2019). Fusion of finger-knuckle-print and finger vein recognition using random forest tree. International Conference of Mathematical Sciences (ICMS 2019). s. 156.
