Facial Expression Recognition under Difficult Conditions: A Comprehensive Study on Edge Directional Texture Patterns Cover

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Facial Expression Recognition under Difficult Conditions: A Comprehensive Study on Edge Directional Texture Patterns

International Journal of Applied Mathematics and Computer Science

Volume 28 (2018): Issue 2 (June 2018)

By: Faisal Ahmed and Md. Hasanul Kabir

Open Access

|Jun 2018

Authors

Faisal Ahmed

faahmed@ucalgary.ca

Department of Computer Science University of Calgary, 2500 University Drive NW,, Calgary, Canada

Md. Hasanul Kabir

Department of Computer Science and Engineering Islamic University of Technology, Board Bazar,, Gazipur, Bangladesh

DOI: https://doi.org/10.2478/amcs-2018-0030 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 399 - 409

Submitted on: Feb 25, 2017

|

Accepted on: Nov 2, 2017

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Published on: Jun 29, 2018

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

directional ternary pattern,

compressed DTP,

facial feature descriptor,

texture encoding,

support vector machine

Related subjects:

Applied mathematics

© 2018 Faisal Ahmed, Md. Hasanul Kabir, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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