Face Recognition Techniques: A Survey
This is an incremental survey paper that reviews methods for extracting auxiliary biometric information like age and gender from faces, which aids in human identification.
The paper surveys existing face recognition techniques for determining age and gender, discussing their performance and suggesting future research directions.
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.