Instant Human Face Attributes Recognition System
نویسندگان
چکیده
The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by the human facial image in the real time image as we all aware this term that “Real-Time frame rate is a vital factor for practical deployment of computer vision system”. In this particular paper we are trying to presents the progress towards face detection and human attributes classification system. We have developed an algorithm for the classification of gender, age and race from human frontal facial image As the basis of the classifier proposed algorithm uses training set neuron receptors that process visual information a study of the several variants of these classifiers and shows the principal possibility of sex determination, assessment of a person's age on a scale (adult children) and recognition of race by using the neuron-like receptors. KeywordsGender recognition; Age recognition; Ethnicity recognition; MCT; AdaBoost; attributes classifier.
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