FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS AND GABOR FILTERS
The problem of face recognition in a natural or artificial environment has received a great deal of researchers’ attention over the last few years. A lot of methods for accurate face recognition have been proposed. Nevertheless, these methods often fail to accurately recognize the person in difficul...
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Copernicus Publications
2015-05-01
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| سلاسل: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| الوصول للمادة أونلاين: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/59/2015/isprsarchives-XL-5-W6-59-2015.pdf |
| الملخص: | The problem of face recognition in a natural or artificial environment has received a great deal of researchers’ attention over the last
few years. A lot of methods for accurate face recognition have been proposed. Nevertheless, these methods often fail to accurately
recognize the person in difficult scenarios, e.g. low resolution, low contrast, pose variations, etc. We therefore propose an approach
for accurate and robust face recognition by using local quantized patterns and Gabor filters. The estimation of the eye centers is used
as a preprocessing stage. The evaluation of our algorithm on different samples from a standardized FERET database shows that our
method is invariant to the general variations of lighting, expression, occlusion and aging. The proposed approach allows about 20%
correct recognition accuracy increase compared with the known face recognition algorithms from the OpenCV library. The
additional use of Gabor filters can significantly improve the robustness to changes in lighting conditions. |
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| تدمد: | 1682-1750 2194-9034 |