Face Recognition using Content Based Image Retrieval for Intelligent Security

Abstract

This paper try to construct an intelligent security system based on face recognition. The data used in this research are frontal face images and without obstacles, and facial images with obstacles. In this research, we used Content Based Image Retrieval or CBIR method. Approximately 10,000 images used in this work which is collected from internet, police department office, and shooting directly as primary data. Facial image data are stored in the database object-based files through process of identification and facial recognition. Consequently, facial images are retrieved using facial similarity techniques. In this stage of identification , an application can specify shape of the front face, performs feature extraction, and running intelligent Similarity (matching face data) which open the door automatically . This system can be used to minimize the occurrence of criminality occurs nowadays. This system can be used such as for house door security, office doors, and airport gates. The experiments result show that our algorithm quite good in face detection and recognition to open the door.

KlugOculus: A Vision-Based Intelligent Architecture for Security System

“…A hybrid intrusion detection (HID) system with a machine learning algorithm is used to improve the security system by successfully evaluating the environment and user behavior to forecast future actions to secure the smart home system [ 17 ]. An intelligent security system based on content-based image retrieval is proposed for face recognition, where two different types of frontal facial images are analyzed and approximately 10,000 photos are collected from the police department offices, the Internet, and shootings for analysis [ 18 ]. A facial recognition system based on machine learning is proposed to detect an intruder in the home door locking system, where it enhances the security system with advanced techniques and effective accuracy [ 19 ].…”