Convolutional Neural Network Designs for Finger-vein-based Biometric Identification
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
With the increase in the number of publicly available finger-vein datasets, most of the recent studies on finger-vein biometrics have started to use Convolutional Neural Networks (CNNs). Since it is not an easy task to create a biometric dataset with a large number of users due to several privacy reasons, this study uses 4 publicly available finger-vein datasets. However, these datasets have a limited number of samples per user. From this point of view, in order to avoid possible overfitting problems that occur due to limited training samples, this study provides 4 empirical convolutional neural network designs without using any preprocessing operation for each biometric dataset after systematic comparisons.
Açıklama
11th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2019 -- Bursa, TURKEY
Anahtar Kelimeler
[No Keywords]
Kaynak
2019 11Th International Conference On Electrical And Electronics Engineering (Eleco 2019)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
