LBP Yardımıyla Görüntüdeki Kişinin Yaşının Bulunması

Yıl 2011, Cilt: 8 Sayı: 1, - , 01.05.2011

Vasif V. Nabiyev Asuman Günay

Öz

Age estimation from facial images and facial age progression is crucial in
security systems design. In this study local binary pattern (LBP) histograms are used to
classify the age from facial images. The LBP operator is an effective texture descriptor and
used in the fields of texture classification, segmentation, face detection, face recognition
and gender estimation. The local binary patterns (LBP) are fundamental properties of
local image texture and the occurrence histogram of these patterns is an effective texture
feature for face description. In the study the faces are divided into small regions from
which the LBP histograms are extracted and concatenated into a feature vector to be used
as an efficient face descriptor. For every new face presented to the system, spatial LBP histograms are produced and used to classify the image into one of the age classes. In the
classification phase we use minimum distance, nearest neighbor and k-nearest neighbor
classifiers. The distances between the samples are calculated with Euclidean, normalized
Euclidean, chi-square and weighted chi-square distances. The experimental results have
shown that system performance is %89 for age estimation.

Anahtar Kelimeler

Age estimation, local binary patterns (LBP), classification

Kaynakça

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