Human Face Detection Techniques: A Comprehensive Review and Future Research Directions

Face detection, which is an effortless task for humans, complex to perform on machines. The recent veer proliferation of computational resources paving the way frantic advancement face detection technology. Many astutely developed algorithms have been proposed detect faces. However, there little attention paid in making a comprehensive survey available algorithms. This paper aims at providing fourfold discussions First, we explore wide variety five steps, including history, working procedure, advantages, limitations, and use other fields alongside detection. Secondly, include comparative evaluation among different each single method. Thirdly, provide detailed comparisons epitomized all-inclusive outlook. Lastly, conclude this study with several promising research directions pursue. Earlier papers are limited just technical details popularly used In our study, however, cover explanations various sub-branches neural network. We present under sub-branches. strengths limitations these novel literature that includes their besides