Comparing Face Detection and Recognition Techniques

2016/04/19 by Jyothi Korra, Korra, Jyothi
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Image Retrieval and Classification Techniques

paper · pdf · doi:10.48550/arxiv.1610.04575

openalex publication_date 2016/04/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Related

• Face Detection: Present State and Research Directions
• A comparative study on face recognition techniques and neural network
• Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time
• Face Recognition: From Traditional to Deep Learning Methods
• Computerized Face Detection and Recognition