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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