Convolutional Neural Network Designs for Finger-vein-based Biometric Identification
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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.