Finger-Knuckle-Print Recognition Using Deep Convolutional Neural Network

Biometric technology has become essential in our daily life. In such a biometric system, personal identification is based on behavioral or biological characteristics. Recently, the trait of the Finger-Knuckle-Print (FKP) is used due to its ease of use and low cost. In order to develop an efficient recognition system based on these images, we propose a deep learning method where we use our own Convolutional Neural Network (CNN) to identify persons. Excellent results were conducted with unimodal and multimodal identification systems.

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