Robust Face Recognition Technique under Varying Illumination
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2015
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| _version_ | 1876427065499058176 |
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| author | Jamal Hussain Shah |
| author_facet | Jamal Hussain Shah |
| contents | Robust Face Recognition Technique under Varying Illumination Jamal Hussain Shah Muhammad Sharif Mudassar Raza Marryam Murtaza Saeed Ur-Rehman Ingeniería Face Pixels recognition Illumination Textural Features Face recognition is one of a complex biometrics in the field of pattern recognition due to the constraints imposed by variation in the appearance of facial images. These changes in appearance are affected by variation in illumination, expression or occlusions etc. Illumination can be considered a complex problem in both indoor and outdoor pattern matching. Literature studies have revealed that two problems of textural based illumination handling in face recognition seem to be very common. Firstly, textural values are changed during illumination normalization due to increase in the contrast that changes the original pixels of face. Secondly, it minimizes the distance between inter-classes which increases the false acceptance rates. This paper addresses these issues and proposes a robust algorithm that overcomes these limitations. The limitations are resolved through transforming pixels from non-illumination side to illuminated side. It has been revealed that proposed algorithm produced better results as compared to existing related algorithms. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47436895009 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.13 |
| format | Artículo científico |
| id | redalyc_47436895009 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Robust Face Recognition Technique under Varying Illumination Jamal Hussain Shah Ingeniería Face Pixels recognition Illumination Textural Features Robust Face Recognition Technique under Varying Illumination Jamal Hussain Shah Muhammad Sharif Mudassar Raza Marryam Murtaza Saeed Ur-Rehman Ingeniería Face Pixels recognition Illumination Textural Features Face recognition is one of a complex biometrics in the field of pattern recognition due to the constraints imposed by variation in the appearance of facial images. These changes in appearance are affected by variation in illumination, expression or occlusions etc. Illumination can be considered a complex problem in both indoor and outdoor pattern matching. Literature studies have revealed that two problems of textural based illumination handling in face recognition seem to be very common. Firstly, textural values are changed during illumination normalization due to increase in the contrast that changes the original pixels of face. Secondly, it minimizes the distance between inter-classes which increases the false acceptance rates. This paper addresses these issues and proposes a robust algorithm that overcomes these limitations. The limitations are resolved through transforming pixels from non-illumination side to illuminated side. It has been revealed that proposed algorithm produced better results as compared to existing related algorithms. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47436895009 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.13 |
| title | Robust Face Recognition Technique under Varying Illumination |
| topic | Ingeniería Face Pixels recognition Illumination Textural Features |
| url | https://www.redalyc.org/articulo.oa?id=47436895009 |