Survey of Different Face Detection & Recognition Techniques

This paper presents a comprehensive survey of different face detection and recognition techniques, with a primary focus on face recognition. Face recognition is a rapidly evolving field that has numerous applications, such as security systems, biometric authentication, law enforcement and social media. The paper provides an overview of the various approaches and algorithms used in face detection, including Haar-cascade, Histogram of Oriented Gradients (HOG), and deep learning-based techniques, among others. However, the paper places more emphasis on face recognition and discusses in detail various recognition techniques, such as feature-based, template-based, and neural network-based methods. Finally, the paper concludes with a discussion of current research trends and future directions in the field of face recognition. The survey’s overall goal is to present a thorough grasp of the most recent facial recognition technologies and potential uses for them.