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Face recognition system based-on imperialist competitive algorithm and neural network (ICANN)


Article Information

Title: Face recognition system based-on imperialist competitive algorithm and neural network (ICANN)

Authors: Hassan Jassim Motlak, Ehab Abdul Razzaq Hussein, Ali Shaban Hassony

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 22

Language: English

Categories

Abstract

This paper presents smart security system based-on Imperialist Competitive Algorithm Neural Network (ICANN). The proposed system consists from high-resolution camera, motion sensors, and control system. The Camera installed up side of security main gate, park's entry, and office's gate connected with motion sensors. The comparison process start in case person detected by motion sensor. The comparison process between saved image of authorized person with image of suspected person take it by (USB full HD camera), if there is a matching between them, the decision of control system will open the gate if there is no matching the gate stay in closed case. In addition to that, all gates controlled by central control office to send alarm in suspected cases. Principal Component Analysis (PCA) used for features extraction and ICANN for image detection and all software recognition process is based-on (Math Lab). The results obtained from the simulation system shows faster more accurate than other traditional methods. Moreover, the results show efficient and reliable security system with accuracy around 96%. Practical system shows excellent agreement with that obtained by simulation results.


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