Review on Different Face Recognition Techniques

Face recognition is considered as one of the emerging topics in computer vision application. Currently biometric research is mainly focused on automated face recognition in various applications such as surveillance application in various public security measures. Face recognition is a biometric system used to categorize or authenticate a person from a digital image by extracting its features and then distinguishing it, regardless external conditions. This learning version has mainly two motives: first one is the extensive assortment of profitable and regulation implementation claims, second is the convenience of possible skills. This paper is organised as three sections. The first section describes brief introduction to face recognition. The second section types of face recognition and various problems affecting the process and finally third section describes a comparative study of different face recognition methods.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019

Face recognition has now become one of the interesting fields of research and has received a substantial attention of researchers from all over the world. Face recognition techniques has been mostly used in the discipline of image analysis, image processing, etc. One of the face recognition techniques is used to develop a face recognition system to detect a human face in an image. In face recognition system a digital image with a human face is given as an input which extracts the significant features of face such as (eyes, nose, chin, cheeks, etc) to recognize a face in a digital image which is an exhausting task. Security of information is very salient feature and is difficult to achieve. Security cameras are present in offices, universities, banks, ATMs, etc. All these security cameras are embedded with face recognition systems. There are various algorithms which are used to solve this problem. This paper provides an overview of various techniques which are often used for this face recognition in a face recognition system. This paper is divided into five parts, first section concludes various face detection techniques, second section describes about image processing ,third section have details about face recognition techniques, fourth section describes various classification methods and last section concludes all of these sections.

International Journal of Computer Applications, 2016

Face Recognition is used for real time application. So reliability is the more important matter for security. Facial Recognition is rapidly becoming area of interest. Face biometrics is useful for authentication that recognizes face. This paper represents review of face recognition methods and discusses their advantages and disadvantages. The purpose of this paper is to provide a survey of face recognition methods that appeared in the literature over the past decade which was not discussed in the previous survey and also categorize them into meaningful approaches.

International Conference on Communication and Electronics System Design, 2013

Face Recognition is used for real time application. So reliability is the more important matter for security. Facial Recognition is rapidly becoming area of interest. Face biometrics is useful for authentication that recognizes face. This paper represents review of face recognition methods and discusses their advantages and disadvantages. The purpose of this paper is to provide a survey of face recognition methods that appeared in the literature over the past decade which was not discussed in the previous survey and also categorize them into meaningful approaches.

IOSR Journal of Computer Engineering, 2018

Security has become a major issue globally and in order to manage the security challenges and reduce the security risks in the world, biometric systems such as face detection and recognition systems have been built. These systems are capable of providing biometric security, crime prevention and video surveillance services because of their inbuilt verification and identification capabilities(Hjelmas & Kee Low, 2001). This has become possible due to technological advancement in the fields of automated face analysis, machine learning and pattern recognition (Wojcik et al, 2016). In the paper, we review some biometric and facial recognition techniques.

2018

Face Recognition which is still one of the challenging topic in Computer Vision and Image Processing field remains an open problem as the recent advancements has not yet reached high recognition performance in real world environment. With the usage of technologies for Computer Vision and Image Processing, Face Recognition has gained more interest due to it applications and concerns on high security. Human Face can be considered as a key identifier in various fields and Computational models of face recognition can be applied to a wide variety of problems involving security system, Identification of criminals or suspects, image and film processing, and human computer interaction. This field of computer vision and image processing involves recognition of face from image or a video source. Several algorithms and methodologies for face identification have been developed having their own pros and cons. In this paper, we will provide review and survey of some famous major face recognition ...

2012

In recent days, the need of biometric security system is heightened for providing safety and security against terrorist attacks, robbery, etc. The demand of biometric system has risen due to its strength, efficiency and easy availability. One of the most effective, highly authenticated and easily adaptable biometric security systems is facial feature recognition. This paper h a s covered almost all the techniques for face recognition approaches. It also covers the relative analysis between all the approaches which are useful in face recognition. Consideration of merits and demerits of all techniques is done and recognition rates of all the techniques are also compared.

International journal of engineering research and technology, 2019

With the advancement of technology, there is a vast demand of technological development in the sector of security. One of the best way possible for ensuring security is the use of human body identification. Face biometrics is one of the hottest topic in the market. It has now received more attention. Many big organisations and multinational technological companies are special attention towards this topic including Tesla, etc. as this technology will be beneficial for multiple fields from security to transportation to solving crimes. Face biometrics, useful for a person's authentication is a simple and nonintrusive method that recognizes face in complex multidimensional visual model and develops a computational model for it. Having developed many technological advances in this sector there is still a lot of scope of improvement. In this paper, first, we are going to present an overview of face recognition and discuss the methodology and its functioning and the different techniques involved in the same. Thereafter we will represent the most recent face recognition techniques listing their advantages and disadvantages. Some techniques specified here also improve the efficiency of face recognition under various illumination and expression condition of face images.

International Journal of Computer Technology & Applications, Vol 4 (1), pp. 84-86, ISSN:2229-6093, 2013

""Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices, University, ATM, Bank and in any locations with a security system. Face recognition is a biometric system used to identify or verify a person from a digital image. Face Recognition system is used in security. Face recognition system should be able to automatically detect a face in an image. This involves extracts its features and then recognize it, regardless of lighting, expression, illumination, ageing, transformations (translate, rotate and scale image) and pose, which is a difficult task. This paper contains three sections. The first section describes the common methods like holistic matching method, feature extraction method and hybrid methods. The second section describes applications with examples and finally third section describes the future research directions of face recognition.""