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MORPH: Development and Optimization of a Longitudinal Age Progression Database

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Biometric ID Management and Multimodal Communication (BioID 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5707))

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Abstract

This paper details recent improvement to MORPH, a longitudinal face database, developed for age progression and age estimation research. This database is primarily used to solve age-related problems of facial recognition systems. The data corpus provides the largest set of publicly available longitudinal adult images with supporting metadata and is still expanding; longitudinal spans range from several days to over twenty years. The metadata provided aids in classification by age, gender, and race and includes other key parameters that affect aging appearance.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Rawls, A.W., Ricanek, K. (2009). MORPH: Development and Optimization of a Longitudinal Age Progression Database. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-04391-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04390-1

  • Online ISBN: 978-3-642-04391-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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