Systems and Means of Informatics
November 2013, Volume 23, Issue 2, pp 62-73
AGE ESTIMATION UPON FACE IMAGE BASED ON LOCAL BINARY PATTERNS AND A RANKING APPROACH
- A. V. Rybintsev
- T. M. Lukina
- V. S. Konushin
- A. S. Konushin
Abstract
In this paper a new age classification algorithm is proposed, which is a modification of method [5]. The algorithm is based on training of a set of binary classifiers. Each classifier estimates whether the person is older than a specified age or not. The age then can be simply calculated as a sum of outputs of all binary classifiers. By using local binary patterns as classification features age prediction accuracy improvement is achieved, though classifier size is increased. A number of modifications, which decrease a classifier size and increase classification speed, but keep age estimation accuracy high, are proposed. Experiments on MORPH database showed mean absolute error from 4,52 to 5 years and classification time between 0.32 and 3.21 seconds, depending on parameters.
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[+] About this article
Title
AGE ESTIMATION UPON FACE IMAGE BASED ON LOCAL BINARY PATTERNS AND A RANKING APPROACH
Journal
Systems and Means of Informatics
Volume 23, Issue 2, pp 62-73
Cover Date
2013-11-30
DOI
10.14357/08696527130205
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
Face classification, Age classification, Local Binary Patterns
Authors
V. S. Konushin  , T. M. Lukina , A. V. Rybintsev , A. S. Konushin
Author Affiliations
Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University
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