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Age Estimation

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics
  • 281 Accesses

Synonyms

Age prediction; Human aging

Definition

Age estimation is to determine a person’s age based on his or her biometric cues. Usually facial images are used to extract aging-related features for learning the aging patterns and predicting the age for a new person (i.e., unseen in training). Thus age estimation is often equivalent to “facial age estimation.” The output of an age estimation system is the specific age in years, e.g., 5 years old. In some cases, the output could be an age range, e.g., between 5 and 10 years old, or just a child, adult, or senior. To clarify the concept, it can be called “age group classification” when the output of an algorithm is an age range, rather than a specific age number.

Introduction

Human aging is inevitable and irreversible. Everybody grows from young to adult and to elderly. Following the same or similar “aging path,” there could exit “aging patterns” that can be extracted from different individuals. So the aging patterns can be estimated...

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References

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Guo, G. (2015). Age Estimation. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_9216

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