Discrete complex fuzzy transform based face image recognition method

Discrete complex fuzzy transform based face image recognition method

Автор: Turker Tuncer, Sengul Dogan, Erhan Akbal

Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp

Статья в выпуске: 4 vol.11, 2019 года.

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In this paper, a novel discrete complex fuzzy transform (DCFT) and the proposed DCFT based facial image recognition method is presented. The presented DCFT consists of histogram extraction, peak points of histogram calculation and images construction. 3 real and 3 complex images are constructed using DCFT. Also, 3 angular images and 3 vector image are calculated using the real and complex images. To create real and complex images, polynomial and smith fuzzy sets are used in this paper. Briefly, 12 image are constructed using DCFT. In order to demonstrate effect of the proposed DCFT, face images data sets and local binary pattern (LBP) are used to create facial image recognition method. In this method, LBP is applied on the each DCFT image and 12 x 256 size of feature are extracted. Also, maximum pooling is applied on this feature set to obtain 256 size of feature. In the classification phase, support vector machine (SVM) and k nearest neighborhood (KNN) classifiers are used. The comparisons clearly demonstrate that the proposed DCFT is increased facial image recognition capability.

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Face recognition, fuzzy transform, classification, local pattern

Короткий адрес: https://sciup.org/15016042

IDR: 15016042   |   DOI: 10.5815/ijigsp.2019.04.01

Список литературы Discrete complex fuzzy transform based face image recognition method

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