Comparing Face Detection and Recognition Techniques

TL;DR

This paper compares various face detection and recognition techniques, including SOM, projection with nearest neighbor, and SVM, to evaluate their effectiveness in identifying faces in images.

Contribution

It provides a comparative analysis of three different face detection and recognition methods, highlighting their relative strengths and weaknesses.

Findings

SOM-based face detection effectively locates faces in images.

Projection and nearest neighbor offer a simple recognition approach.

SVM-based recognition achieves higher accuracy in identification.

Abstract

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.