Image Preprocessing for Illumination Invariant Face Verification
نویسنده
چکیده
Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing methods significantly improves the verification rate and it’s a very important step in face verification system. Keywords—DLDA, face verification, histogram normalization, homomorphic filtering, illumination normalization, LDA, PCA, preprocessing techniques, quotient image, retinex.
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