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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© 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
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