HUMAN IDENTIFICATION BASED ON FOOT IMAGE RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK

A human footprint is a human biometric system. Each of them has specific footprints. It can be used instead of password authentication in security systems such as user authentication for financial transactions. The password-based system cannot verify that the person entering the password is valid. Therefore, a biometric system is more secure than a password-based system. In this seminar, a new identification system using CNN was presented. In addition, a new foot image data set was created by collecting foot images from 150 people. The presented proposed method presented 100% accuracy when compared with previous studies.