  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.
