Published Paper Details:

Emotions are the purest form of our soul to express what we feel inside our hearts. The process of recognizing feelings developed in the computer field a long time ago. Several face recognition techniques have been discovered in the technological aspect. Surveys into automatic face detection has been conducted since the 1960s, but the problem remains largely unsolved. The past decade has made major advances in this field due to advances in facial analysis and modeling techniques. Despite the development of face detection and tracking systems, reliable face recognition remains a major challenge for researchers in the field of computer vision and pattern recognition. There are several reasons behind the recent increased interest in face recognition, including a growing public interest in security, the need for identity verification in the digital world, and face analysis and modeling techniques in managing multimedia and computer entertainment data. In this chapter we discussed the processing of face recognition, including key components such as face detection, tracking, alignment, and feature extraction, and points out the technical challenges of building a face recognition system. We focus on the importance of the most successful solutions available to date. In this paper, we discussed various traditional face recognition techniques that have developed approaches to manipulate them with different datasets to achieve accurate results.