Abstract
Face recognition has been one of the most interesting and important research areas for real time applications. There is a need and necessity to design efficient machine leaning based approach for automatic recognitions and surveillance systems. Face recognition also used the knowledge from other disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. This chapter provides a review of machine learning based techniques for the face recognition. First, it presents an overview of face recognition and its challenges then, a literature review of machine learning based approaches for face detection and recognition is presented.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Face Recognition using Convolutional Neural Network in Machine Learning;2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART);2021-12-10