A Comprehensive Analysis on Face Recognition using various Deep Learning Techniques
P Jayabharathi, A. Suresh · 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) · 2022
Identifying human faces are difficult issue whereas the occurrence of huge diversity in facial pose, lighting, and poor picture quality. Some of the most significant issues with face recognition is object recognition and computer vision. Face recognition still has a lot of issues that need to be worked out and can be resolved using more powerful methods to a larger extent. The application of face recognition in a real-life situation still remains, a challenging task. The most important processes in face recognition, Pre-processing, Face Detection, Feature Extraction, and Classifications remains that should be followed when identifying faces in the wild. The purpose of this paper to assess a variety of deep learning methods; how its work with face recognition for identifying face images in a large database and also explained about various datasets that are used for image classification. To comprehend the present state-of-the-art, of this paper delivers a full review of various DL approaches.