Face Recognition Techniques: A Survey

TL;DR

This survey reviews various face recognition techniques focusing on estimating age and gender, discussing their performance and suggesting future research directions in biometric identification.

Contribution

It provides a comprehensive overview of face recognition methods for age and gender detection, highlighting current challenges and performance insights.

Findings

Techniques vary in accuracy for age and gender detection

Performance analysis of existing face recognition methods

Future research directions proposed for improved accuracy

Abstract

Nowadays research has expanded to extracting auxiliary information from various biometric techniques like fingerprints, face, iris, palm and voice . This information contains some major features like gender, age, beard, mustache, scars, height, hair, skin color, glasses, weight, facial marks and tattoos. All this information contributes strongly to identification of human. The major challenges that come across face recognition are to find age & gender of the person. This paper contributes a survey of various face recognition techniques for finding the age and gender. The existing techniques are discussed based on their performances. This paper also provides future directions for further research.