literature review on facial recognition

The task of face recognition has been actively researched in recent years. This paper provides an up-to-date review of major human face recognition research. We first present an overview of face ...

The general taxonomy of the literature on face recognition is shown in Fig. 1. Download: Download high-res image (191KB) Download: Download full-size image; Fig. 1. ... Below, we give a brief review of the face detection and facial landmarking methods in the literature. Accurate and effective face detection and facial landmarking algorithms ...

Face recognition is one of the most active research fields of computer vision and pattern recognition, with many practical and commercial applications including identification, access control, forensics, and human-computer interactions. However, identifying a face in a crowd raises serious questions about individual freedoms and poses ethical issues. Significant methods, algorithms, approaches ...

Face recognition: a literature review. Int J Inf Commun Eng 2006; 2: 88-103. Google Scholar. 8. Thorat SB, Head SKN, Jyoti M, et al. Facial recognition technology: an analysis with scope in India. ... Zhang X, Gao Y. Face recognition across pose: a review. Pattern Recognit 2009; 42: 2876-2896. Crossref. Web of Science. Google Scholar. 22.

Face recognition is kind of recognit ion task pattern, where a. face is categorized as either known or unknown after. comparing it with the images of a known person stored in the. database. Face ...

Face recognition is an efficient technique and one of the most preferred biometric modalities for the identification and verification of individuals as compared to voice, fingerprint, iris, retina eye scan, gait, ear and hand geometry. This has over the years necessitated researchers in both the academia and industry to come up with several face recognition techniques making it one of the most ...

Human face recognition have been an active research area for the last few decades. Especially, during the last five years, it has gained significant research attention from multiple domains like computer vision, machine learning and artificial intelligence due to its remarkable progress and broad social applications. The primary goal of any face recognition system is to recognize the human ...

nent of a face recognition system and the focus of the literature review in Section II. (a) (b) (c) Fig. 3: (a) Bounding boxes found by a face detector. (b) and (c) Aligned faces and reference points. II. LITERATURE REVIEW Early research on face recognition focused on methods that used image processing techniques to match simple features de-

We give an up-to-date, comprehensive and compact overview of the vast amount of work on image and video based face recognition in the literature including the image and video databases and evaluation methods. Approximately 300 papers, which were published between 1990s and the beginning of 2020 have been reviewed.

During that period facial recognition is a very complex task and face geometry was used for facial recognition. The face is the most important component of the human body. In different Literature reviews, we can quote that face can also speak with the different expressions, which express emotions in words.

This paper proposes a review of research on face recogni­tion techniques, algorithms and existing applications, with their advantages and disadvantages, and presents fu­ture directions of development in the field of face recognition. Face recognition is a crucial and rapidly evolving field within com­puter vision and artificial intelligence. The human face is one important el­ement for ...

Deep learning models currently achieve human levels of performance on real-world face recognition tasks. We review scientific progress in understanding human face processing using computational approaches based on deep learning. This review is organized around three fundamental advances. First, deep networks trained for face identification generate a representation that retains structured ...

According to [6] the facial recognition process considers. three phases: 1) Face detection - responsible for identifying. and locating the image as a human face; 2) Featu re. extraction - deals ...

The systematic literature review (SLR) approach was used to conduct this review of the literature and 28 face recognition techniques studies published between 2015 and 2020 were retained and further investigated based on the defined inclusion and exclusion criteria. Recent research on face recognition techniques typically results in datasets and methods that enable image processing to ...

This review presents the broad range of methods used for face recognition and attempts to discuss their advantages and disadvantages, and presents the possibilities and future implications for further advancing the field. The face is an important part of the human body, distinguishing individuals in large groups of people. Thus, because of its universality and uniqueness, it has become the ...

Metrics. Abstract: Face recognition technology is a biometric technology, which is based on the identification of facial features of a person. People collect the face images, and the recognition equipment automatically processes the images. The paper introduces the related researches of face recognition from different perspectives.

The exponential growth of the facial expression recognition (FER) methods performed using computer vision, deep learning, and AI has been observed over the last few owing to its well-known applications in security [1], [2], lecturing [3], [4], medical rehabilitation [5], FER in the wild [6], [7], and safe driving [8].Facial expressions are remarkably essential in human communication and are ...

Abstract. Face recognition have gained a great deal of popularity because of the wide range of applications such as in entertainment, smart cards, information security, law enforcement, and surveillance. It is a relevant subject in pattern recognition, computer vision, and image processing. Two major methods are used for features extraction ...

Emotion recognition has opened up many challenges, which lead to various advances in computer vision and artificial intelligence. The rapid development in this field has encouraged the development of an automatic system that could accurately analyze and measure the emotions of human beings via facial expressions. This study mainly focuses on facial expression recognition from visual cues, as ...

Model-based face recognition methods aims to construct a model of the human face that capture facial variations. Prior knowledge of the human face is highly utilized to design the model. For example, model-based matching derives the distance and relative position features from the placement of internal facial elements.

A literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) ... Towards facial gesture recognition in photographs of patients with facial palsy. Healthc (Basel) 2022;10(4):659. doi: 10.3390/healthcare10040659. [PMC free article] [Google Scholar] ...