Blur and Illumination Invariant Robust Face Recognition Using Support Vector Machine (svm)
نویسنده
چکیده
Face recognition is the biometric identification by scanning a person's face and matching it against a library of known faces. The Issues in Face recognition include image degradation due to blur and variations in appearance due to illumination. Blur refers to the less sharpness or unclearness in images whereas Illumination refers to the placement of light sources in images. Our approach deals with SVM classifier which is used to increase the system performance. It scales large datasets and is also robust to blur and illumination changes in the image. Accuracy of image recognition is also high.
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