| Autor: |
Varthakavi, Sai Sasank, Babu, Devisetty Rohith Prasanna, Reddy, Likith Kumar Reddy Singam, A. S., Remya Ajai |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); 2019, Vol. 5 Issue 2, p32-39, 8p |
| Abstrakt: |
Face detection using computer vision algorithm is undoubtedly an important technology in this modern world. The accuracy of the existing algorithms can be improved by analyzing the best preprocessing technique for a particular classifier. In this work, we implemented different preprocessing algorithms for two main classifiers namely KNN and SVM. With various combinations of existing preprocessing, segmentation and feature extraction algorithms, SVM classifier gives better accuracy of around 98%. The analysis is done using MATLAB 2018b software. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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