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Publication
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| Title of Article |
A Parallel Robust Cosmetic Makeup Facial Recognition Scheme Using Pearson Correlation Condition Optimizations |
| Date of Acceptance |
10 April 2017 |
| Journal |
| Title of Journal |
The International Arab Journal of Information Technology |
| Standard |
ISI |
| Institute of Journal |
Zarqa Private University |
| ISBN/ISSN |
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| Volume |
16 |
| Issue |
3 |
| Month |
May |
| Year of Publication |
2019 |
| Page |
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| Abstract |
Makeup changes or the application of cosmetics constitute one of the challenges for the improvement of the recognition precision of human faces because makeup has a direct impact on facial features, such as shape, tone, and texture.
Thus, this research investigates the possibility of integrating a statistical model using Pearson correlation (PC) to enhance the facial recognition accuracy. PC is generally used to determine the relationship between the training and testing images while leveraging the key advantage of fast computing. Considering the relationship of factors other than the features, i.e., changes in shape, size, color, or appearance, leads to a robustness of the cosmetic images. To further improve the accuracy and reduce the complexity of the approach, a technique using channel selection and the optimum index factor (OIF), including histogram equalization (HE), is also considered. In addition, to enable real-time (online) applications, this research applies parallelism to reduce the computational time in the pre-processing and feature extraction stages, especially for parallel matrix manipulation, without affecting the recognition rate. The performance improvement is confirmed by extensive evaluations using three cosmetic datasets compared to classic facial recognitions, namely, principal component analysis and local binary pattern (by factors of 6.98 and 1.4, respectively), including their parallel enhancements (i.e., by factors of 31,194.02 and
1577.88, respectively) while maintaining high recognition precision. |
| Keyword |
Cosmetic, Facial recognition, Makeup, Parallel, Pearson Correlation |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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