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Convolution Neural Network Based Deep Feature Fusion for Palmprint and Handvein
2019
International Journal of Engineering and Advanced Technology
A distinctive Deep Convolution Neural Network (CNN) outline architecture model is presented in this work which proficiently signify complex image features. With two convolution layers implementation of feature extraction is carried out successfully and provides a well-built biometric verification system by using physiological traits Palm print and Hand vein for development of our system. The formation of CNN hyper parameters carried out in numerous experiments such as filters and its size in
doi:10.35940/ijeat.f9217.109119
fatcat:xvlktgenwrgz3jbx4zyy4fszui