Perceived Gender Classification from Face Images

Автор: Hlaing Htake Khaung Tin

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 1 vol.4, 2012 года.

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Perceiving human faces and modeling the distinctive features of human faces that contribute most towards face recognition are some of the challenges faced by computer vision and psychophysics researchers. There are many methods have been proposed in the literature for the facial features and gender classification. However, all of them have still disadvantage such as not complete reflection about face structure, face texture. The features set is applied to three different applications: face recognition, facial expressions recognition and gender classification, which produced the reasonable results in all database. In this paper described two phases such as feature extraction phase and classification phase. The proposed system produced very promising recognition rates for our applications with same set of features and classifiers. The system is also real-time capable and automatic.

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Face Recognition, Facial Expression, Gender Classification, Feature Extraction, Eigen faces

Короткий адрес: https://readera.ru/15010373

IDR: 15010373

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