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DOI: https://dx.doi.org/10.21088/ijfmp.0974.3383.16323.5

Abstract

Introduction: It is diffi cult to describe or analyze face aging since it is a complex process driven by both intrinsic and extrinsic factors. Face aging diff erently infl uencesthe facial components of an individual such as the nose, mouth, and eyes.

Objective: In this paper, we have discussed reviewing facial features, that change with the progression of age and techniques available to recognize these changes.

Method: The majority of the work on face recognition has been carried out on adults and less of the work is reported on facial aging. Researchers have tried to develop algorithms for facial recognition, verifi cation, and identifi cation system which will have low false positive rates and high true positive rates due to the age infl uencing factor.

Conclusion: It will help the scientifi c community for better analysis and recognition.

Keywords : Facial features; Non-adult; and adult age facial features; Age progression; Factors aff ecting age; Facial recognition; Verifi cation; Identifi cation; Age estimation; Age simulation.

Corresponding Author : Priyanka Verma