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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Instant Human Face Attributes Recognition System

Author 1: N Bellustin
Author 2: Y. Kalafati
Author 3: Kovalchuck
Author 4: A. Telnykh
Author 5: O. Shemagina
Author 6: V.Yakhno
Author 7: Abhishek Vaish
Author 8: Pinki Sharma

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Digital Object Identifier (DOI) : 10.14569/SpecialIssue.2011.010318

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence, 2011.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: 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.

Keywords: Gender recognition; Age recognition; Ethnicity recognition; MCT; AdaBoost; attributes classifier.

N Bellustin, Y. Kalafati, Kovalchuck, A. Telnykh, O. Shemagina, V.Yakhno, Abhishek Vaish and Pinki Sharma, “Instant Human Face Attributes Recognition System” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010318

@article{Bellustin2011,
title = {Instant Human Face Attributes Recognition System},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence}
doi = {10.14569/SpecialIssue.2011.010318},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010318},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {3},
author = {N Bellustin and Y. Kalafati and Kovalchuck and A. Telnykh and O. Shemagina and V.Yakhno and Abhishek Vaish and Pinki Sharma},
}


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