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US08331698B2 Ethnicity classification using multiple features 有权
种族分类采用多种特征

Ethnicity classification using multiple features
Abstract:
Frontal face images are classified into four categories such as Asian, Caucasian, African and others. A new representation of face appearance, named BITF (Block Intensity and Texture Feature), is employed as the discrimination feature. An ensemble of three component classifiers, each trained with a different number of BITF features as inputs, is designed to achieve a reliable classification. Further reliability is obtained by taking into consideration other secondary features to boost the classification performance.
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