Biometric template update under facial aging

Z. Akhtar, A. Ahmed, C.E. Erdem, G.L. Foresti

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

3 Citations (Scopus)


Being biological tissues in nature, all biometric traits undergo aging. Aging has profound effects on facial biometrics as it causes change in shape and texture. However aging remain an under-studied problem in comparison to facial variations due to pose, illumination and expression changes. A commonly adopted solution in the state-of-the-art is the virtual template synthesis for aging and de-aging transformations involving complex 3D modelling techniques. These methods are also prone to estimation errors in the synthesis. Another viable solution is to continuously adapt the template to the temporal variation (aging) of the query data. Though efficacy of template update procedures has been proven for expression, lightning and pose variations, the use of template update for facial aging has not received much attention so far. This paper investigates the use of template update procedures for temporal variance due to the facial aging process. Experimental evaluations on FGNET and MORPH aging database using commercial VeriLook face recognition engine demonstrate that continuous template updating is an effective and simple way to adapt to variations due to the aging process.
Original languageUndefined/Unknown
Title of host publicationIEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM
ISBN (Electronic)978-1-4799-4533-7
Publication statusPublished - 12 Dec 2014
Event2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management - Orlando, Florida, United States
Duration: 9 Dec 201412 Dec 2014


Conference2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management
Country/TerritoryUnited States
CityOrlando, Florida

Research Centres

  • Centre for Intelligent Visual Computing Research

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