The Performance of LBP and NSVC Combination Applied to Face Classification
The growing demand in the field of security led to the development of interesting approaches in face classification. These works are interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by classification algorithms. Our goal in...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2016/8272796 |
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| _version_ | 1832565142528720896 |
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| author | Mohammed Ngadi Aouatif Amine Bouchra Nassih Hanaa Hachimi Adnane El-Attar |
| author_facet | Mohammed Ngadi Aouatif Amine Bouchra Nassih Hanaa Hachimi Adnane El-Attar |
| author_sort | Mohammed Ngadi |
| collection | DOAJ |
| description | The growing demand in the field of security led to the development of interesting approaches in face classification. These works are interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by classification algorithms. Our goal in this article is to develop more efficient practical methods for face detection. We present a new fast and accurate approach based on local binary patterns (LBP) for the extraction of the features that is combined with the new classifier Neighboring Support Vector Classifier (NSVC) for classification. The experimental results on different natural images show that the proposed method can get very good results at a very short detection time. The best precision obtained by LBP-NSVC exceeds 99%. |
| format | Article |
| id | doaj-art-0ec4dbbb0f934ed18d7d4c88a359c92f |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-0ec4dbbb0f934ed18d7d4c88a359c92f2025-02-03T01:09:10ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322016-01-01201610.1155/2016/82727968272796The Performance of LBP and NSVC Combination Applied to Face ClassificationMohammed Ngadi0Aouatif Amine1Bouchra Nassih2Hanaa Hachimi3Adnane El-Attar4Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, MoroccoSystems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, MoroccoSystems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, MoroccoSystems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, MoroccoSystems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, MoroccoThe growing demand in the field of security led to the development of interesting approaches in face classification. These works are interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by classification algorithms. Our goal in this article is to develop more efficient practical methods for face detection. We present a new fast and accurate approach based on local binary patterns (LBP) for the extraction of the features that is combined with the new classifier Neighboring Support Vector Classifier (NSVC) for classification. The experimental results on different natural images show that the proposed method can get very good results at a very short detection time. The best precision obtained by LBP-NSVC exceeds 99%.http://dx.doi.org/10.1155/2016/8272796 |
| spellingShingle | Mohammed Ngadi Aouatif Amine Bouchra Nassih Hanaa Hachimi Adnane El-Attar The Performance of LBP and NSVC Combination Applied to Face Classification Applied Computational Intelligence and Soft Computing |
| title | The Performance of LBP and NSVC Combination Applied to Face Classification |
| title_full | The Performance of LBP and NSVC Combination Applied to Face Classification |
| title_fullStr | The Performance of LBP and NSVC Combination Applied to Face Classification |
| title_full_unstemmed | The Performance of LBP and NSVC Combination Applied to Face Classification |
| title_short | The Performance of LBP and NSVC Combination Applied to Face Classification |
| title_sort | performance of lbp and nsvc combination applied to face classification |
| url | http://dx.doi.org/10.1155/2016/8272796 |
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