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A study on face recognition techniques with age and gender classification

Nowadays research has explored to extracting auxiliary information from various biometrie techniques such as fingerprints, face, iris, palm, voice etc. This information contains some features like gender, age, beard, mustache, scars, height, hair, skin color, glasses, weight, facial marks, tattoos etc. All this information contributes more and more to identification. The major changes that come across face recognition are to find age & gender of the person. This paper contributes a significant 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.