FACE RECOGNITION TECHNIQUES AND APPROACHES: A SURVEY

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 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.

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 ...

The information and data gathering in plenitude, there is an essential requirement for high security. Biometrics has now gotten more consideration. Face biometrics, a valuable tool for a man\\\'s verification is a basic and non-meddlesome technique that perceives face in complex multidimensional visual model and builds up a computational model for it. This paper reveals the recognition of the face and then followed by examining the strategy and working. From the above observations, we focused our attention to the latest face recognition techniques posting their favourable circumstances and inconveniences. A few procedures determined here were additionally enhance the proficiency of face recognition under different brightening and demeanor state of face images. The goal of this paper is to present a critical survey of existing literatures on human 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.

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 Computer Applications, 2015

In recent years, the biometrics has achieved a great attention on a world level. A Biometric System operates by getting biometric information from a personal that extracts a feature set from the data which is acquired, and helps in comparing this feature set against the template stored in the database. There are biometric technologies which could either be physiological or behavioral. Face Recognition is having the importance to provide biometric authentication with easy image acquisition that can be used for online and offline applications. There are number of existing approaches for biometric facial recognition and classification. This paper gives a review on some of the common and reliable approaches which include PCA, LDA, SVM, SIFT, SURF, etc.

System that relay on face recognition biometrics have gained great impact on security system since security threats are imposed weakness among the implemented security system. Other biometrics which used for security like fingerprints have some issues and they are not trust worthy. In this survey paper we discussed different types of existing face recognition techniques along with their pros and cons. Face recognition is not a simple thing its very complex system because in face recognition if the user hide their face with sunglasses or hide the face with hijab then its difficult task to recognize the face for that purpose in face recognition used different types of techniques which can recognize the faces in this survey paper we discussed these techniques.

2015

FACE recognition is an important research problem in the field of Pattern Recognition. As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. Even though current machine recognition systems have reached a certain level of maturity, their success is limited by the conditions imposed by many real applications. For example, recognition of face images acquired in an outdoor environment with changes in illumination and/or pose remains a largely unsolved problem. In other words, current systems are still far away from the capability of the human perception system. Human Face Recognition has become a potential method of biometric authentication because of its most non-intrusive and user-friendly nature. Automatic face recognition poses various challenges due to: (a) inherent variability of face due to age, gender and race; (b) different facial expressions and ori...

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.