Face Recognition Challenges and Solutions using Machine Learning
Keywords:face detection, face recognition, illumination, occlusion
Face Recognition is an interesting real-time field of Computer Vision. After many efforts the research is still in development stage. Although recent developments in face recognition has been done but challenging also. Particularly, challenges come with: different positions of faces, illumination levels varied, blurred faces, post surgery faces. With the help of Face detection and face recognition; one can identify the right person from the captured face with a camera/video. The objective of the research is to consider the existing research in the area of face detection & face recognition & finding their limitation such as accuracy and performance. This paper presents the issues such as aging, illumination, occlusion, facial expressions, low resolution etc. This paper is a study of the techniques, tools and possible expected solutions to enhance the performance of the FR system.
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