AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS
Face recognition plays an important role in surveillance, biometrics and is a popular application of computer vision. In this paper, color based skin segmentation is proposed to detect faces and is matched with faces from the dataset. The proposed color based segmentation method is tested in differe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2014-08-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJIVP_Splissue_Paper_9_899-902.pdf |
| _version_ | 1819138672054763520 |
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| author | Surya Kasturi Ashoka Vanjare S.N. Omkar |
| author_facet | Surya Kasturi Ashoka Vanjare S.N. Omkar |
| author_sort | Surya Kasturi |
| collection | DOAJ |
| description | Face recognition plays an important role in surveillance, biometrics and is a popular application of computer vision. In this paper, color based skin segmentation is proposed to detect faces and is matched with faces from the dataset. The proposed color based segmentation method is tested in different color spaces to identify suitable color space for identification of faces. Based on the sample skin distribution a Multivariate Gaussian Model is fitted to identify skin regions from which face regions are detected using connected components. The detected face is match with a template and verified. The proposed method Multivariate Gaussian Model – Fisher Linear Discriminative Analysis (MGM – FLDA) is compared with machine learning - Viola & Jones algorithm and it gives better results in terms of time. |
| first_indexed | 2024-12-22T11:10:29Z |
| format | Article |
| id | doaj.art-fdff73ce43c145a9b420dfc6aa57d9bd |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-12-22T11:10:29Z |
| publishDate | 2014-08-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-fdff73ce43c145a9b420dfc6aa57d9bd2022-12-21T18:28:11ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022014-08-0151899902AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSISSurya Kasturi0Ashoka Vanjare1S.N. Omkar2Department of Electronics and Communication Engineering, Marri Laxman Reddy Institute of Technology and Management, IndiaDepartment of Aerospace Engineering, Indian Institute of Science, IndiaDepartment of Aerospace Engineering, Indian Institute of Science, IndiaFace recognition plays an important role in surveillance, biometrics and is a popular application of computer vision. In this paper, color based skin segmentation is proposed to detect faces and is matched with faces from the dataset. The proposed color based segmentation method is tested in different color spaces to identify suitable color space for identification of faces. Based on the sample skin distribution a Multivariate Gaussian Model is fitted to identify skin regions from which face regions are detected using connected components. The detected face is match with a template and verified. The proposed method Multivariate Gaussian Model – Fisher Linear Discriminative Analysis (MGM – FLDA) is compared with machine learning - Viola & Jones algorithm and it gives better results in terms of time.http://ictactjournals.in/paper/IJIVP_Splissue_Paper_9_899-902.pdfFace RecognitionMultivariate Gaussian ModelImage SegmentationConnected ComponentColor Spaces |
| spellingShingle | Surya Kasturi Ashoka Vanjare S.N. Omkar AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS ICTACT Journal on Image and Video Processing Face Recognition Multivariate Gaussian Model Image Segmentation Connected Component Color Spaces |
| title | AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS |
| title_full | AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS |
| title_fullStr | AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS |
| title_full_unstemmed | AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS |
| title_short | AUTOMATIC HUMAN FACE RECOGNITION USING MULTIVARIATE GAUSSIAN MODEL AND FISHER LINEAR DISCRIMINATIVE ANALYSIS |
| title_sort | automatic human face recognition using multivariate gaussian model and fisher linear discriminative analysis |
| topic | Face Recognition Multivariate Gaussian Model Image Segmentation Connected Component Color Spaces |
| url | http://ictactjournals.in/paper/IJIVP_Splissue_Paper_9_899-902.pdf |
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