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Biometric Features as a Guideline for the Best Colour Clothing Choice

by Hadeel Farahat, Amr Elmagraby
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 30
Year of Publication: 2020
Authors: Hadeel Farahat, Amr Elmagraby
10.5120/ijca2020920838

Hadeel Farahat, Amr Elmagraby . Biometric Features as a Guideline for the Best Colour Clothing Choice. International Journal of Computer Applications. 175, 30 ( Nov 2020), 19-26. DOI=10.5120/ijca2020920838

@article{ 10.5120/ijca2020920838,
author = { Hadeel Farahat, Amr Elmagraby },
title = { Biometric Features as a Guideline for the Best Colour Clothing Choice },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2020 },
volume = { 175 },
number = { 30 },
month = { Nov },
year = { 2020 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number30/31641-2020920838/ },
doi = { 10.5120/ijca2020920838 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:39:52.660734+05:30
%A Hadeel Farahat
%A Amr Elmagraby
%T Biometric Features as a Guideline for the Best Colour Clothing Choice
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 30
%P 19-26
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nature is the most brilliant designer of all, and the secret is in her seasons. Each season presents a distinct array of colours, and your colouring is in harmony with one of these palettes. colour follows form and function, a common rationale and natural progression. your seasonal colour will give you the widest possible choice of shades that will harmonize with and enhance your natural colouring. The study will focus on uses computer for Biometry refers to a set of methods that rely on a set of distinctive, measurable characteristics in real-time human for skin colour detection and detection of eye colour and hair colour features.

References
  1. Amr El Maghraby, N. A. E. Y. E., 2013. Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection. International Journal of Computer Applications, Volume 71.
  2. Amr El Maghraby, N. A. E. Y. E., 2015. Detecting and Tracking of Multiple People in Video based on Hybrid Detection and Human Anatomy Body Proportion. International Journal of Computer Applications, Volume 109.
  3. Amr El Maghraby, N. M. A. E. Y. E., 2014. Detect and Analyze Face Parts Information using Viola- Jones and Geometric Approaches. International Journal of Computer Applications, Volume 101.
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  10. M. Hassaballah, K. a. S. I., June 13-15, 2011, . Eye and Nose Fields Detection From Gray Scale Facial Images. Nara, JAPAN, s.n.
  11. McKelvey, K. &. M. J., 2011. Fashion design: process, innovation and practice. s.l.:John Wiley & Sons.
  12. Nasr, M., 2018. Identifying the role of skin tone in choosing the suitable colors for outfits & fashion accessories. International Journal of Textile and Fashion Technology ( IJTFT), 1-14 June.8(3).
  13. Pooser, D. S. M. A. A., 2010. Always in Style. second edition, ed. USA: EBSCO Publishing.
  14. Wilkinson, J., 2020. [Online] Available at: http://colourmebeautiful.co.nz/wp-content/uploads/2013/11/colour-training-on-line.pdf
Index Terms

Computer Science
Information Sciences

Keywords

Seasonal colour biometric features cloth algorithm

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