A COMPARATIVE STUDY OF HUMAN FACES RECOGNITION USING PRINCIPLE COMPONENTS ANALYSIS AND LINEAR DISCRIMINANT ANALYSIS TECHNIQUES
This paper presents a comparative study of human faces recognition using two feature extraction techniques: Principle Components Analysis (PCA), and Linear Discriminant Analysis (LDA). The performance of these techniques is evaluated and compared to find the best technique for human faces recogniti...
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| Format: | Article |
| Language: | Arabic |
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Mustansiriyah University/College of Engineering
2016-09-01
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| Series: | Journal of Engineering and Sustainable Development |
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| Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/711 |