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  Published Paper Details:

  Paper Title

FACIAL FEATURE DISCOVERY FOR ETHNICITY RECOGNITION USING CNN ALGORITHM

  Authors

  Christa Joyner N.J,  P. Avila Clemenshia

  Keywords

Facial feature, Ethnicity detection, Anthropology research, Image processing, Convolutional Neural Network

  Abstract


The facial feature discovery is a very essential task in ethnical group face recognition. In this paper, we have found ethnical group face dataset which includes Asian, Black, Indian, Latin. We used real time face image to recognize the ethnicity group. Every ethnicity group has their own characteristics and facial features. Therefore, we considered the particularly four ethnical groups in that we intended to find the similar characterizations in some of the ethnical groups. According to the geographical location human facial information will vary, so we have collected data from various regions and that helps to give us the exact result. In this report we exploit the range information of human faces for ethnicity identification using Deep learning. This project is proposed to understand and analyses the relation between the ethnicity and ethnical groups, by combining registered range and intensity images. We trained images and we managed to give a precise result. This work helps to analyses the facial features evolution in anthropology (the study of human societies and cultures and their development.) the proposed integration scheme outperforms each individual ethnicity.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305469

  Paper ID - 234964

  Page Number(s) - d568-d574

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Christa Joyner N.J,  P. Avila Clemenshia,   "FACIAL FEATURE DISCOVERY FOR ETHNICITY RECOGNITION USING CNN ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.d568-d574, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305469.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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