Research on face recognition based on deep learning - IEEE.
The Research on the Face Recognition Technology. The Research on the Face Recognition Technology. Article Preview. Abstract: This article mainly introduces the face recognition technology in its development, the present situation and common applications, and also discusses the facing problems and solutions, finally it makes a brief outlook for the future of face recognition technology in.
Introduction In today's networked world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult. From time to time we hear about the crimes of credit card fraud, computer break-in's by hackers, or security breaches in a company or government building. In the year 1998, sophisticated cyber crooks caused well over.
Since the former Face Recognition Homepage of Peter Kruizinga is no longer active and we believe that face recognition is an important research area, we wanted to give prospective researchers a place to start on the Internet. Our Face Recognition Homepage aims to provide scientists with the relevant information in the area of face recognition. This page is intended to be an information pool.
Before addressing the limitations of today’s technology, let’s discuss how one type of facial-recognition technology works. How Facial Recognition Algorithms Work. Face detection occurs first. The algorithms typically cycle through various boxes, looking for faces with a certain dimension. Inside those boxes, the system detects facial landmarks and assigns a score, providing a confidence.
The remainder of the paper is organized as follows: While Section II presents the architecture of the surveillance robot system Section III describes its working. Section IV presents the algorithms for face recognition and unusual event detection. Section V describes the result and discussion and Section VI concludes with an outline of future work.
Research has been conducted vigorously in this area for the past four decades or so, and though huge progress has been made, encouraging results have been obtained and current face recognition systems have reached a certain degree of maturity when operating under constrained conditions; however, they are far from achieving the ideal of being able to perform adequately in all the various.
Along with the development of deep-learning technology, facial recognition has been a subject of widespread research. Practical applications of facial recognition, however, are still lacking due.