Open AccessHUMAN IDENTIFICATION BASED ON FOOT IMAGE RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK
Author(s) -
Mustafa Shiwaish Hameed
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i11.007
Subject(s) - password , computer science , biometrics , convolutional neural network , identification (biology) , artificial intelligence , authentication (law) , set (abstract data type) , footprint , computer vision , s/key , pattern recognition (psychology) , image (mathematics) , computer security , paleontology , botany , biology , programming language
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.