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2010
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Human age estimation using enhanced bio-inspired features (EBIF)

9 years 12 days ago
Human age estimation using enhanced bio-inspired features (EBIF)
The Aging process is a non-reversible process, causing human face characteristics change with time as hair whitening, muscles drop and wrinkles. Recently, age estimation from facial images has emerged as a hot research area. One of the most successful works is based on biologically inspired features (BIF). In this paper we extend BIF by incorporating fine details facial features, automatic initialization using active shape models and analyzing a more complete facial area by including the forehead details. Besides, we combine regression-based and classificationbased models and test them experimentally on standard datasets showing the superiority of our proposed algorithm (extended BIF
Mohamed Y. Eldib, Motaz El-Saban
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Mohamed Y. Eldib, Motaz El-Saban
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