Comparing Face Detection and Recognition Techniques
This is an incremental study for researchers in computer vision, focusing on benchmarking existing methods without introducing new approaches.
The paper compares three techniques for face detection and recognition, including self-organizing maps for detection and projection with nearest neighbor and SVM for recognition, but does not report specific numerical results.
This paper implements and compares different techniques for face detection and recognition. One is find where the face is located in the images that is face detection and second is face recognition that is identifying the person. We study three techniques in this paper: Face detection using self organizing map (SOM), Face recognition by projection and nearest neighbor and Face recognition using SVM.