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The goal of the paper is to estimate the pose, normalize the pose, and remove the illumination to recognize the face. The training section includes the techniques Affine Transformation and DCT. During the testing section the estimation of pose is calculated and later normalized frames of the pose variant frames and illumination variant frames of the testing person are obtained by using Affine Transformation and DCT methods respectively. Once the normalization and illumination removal methods are done, face recognition is carried out. The features are extracted using the principle component analysis; later face recognition is carried out by matching the obtained features with the database features. Once the normalization and illumination removal methods are done, face recognition is carried out. The features are extracted using the principle component analysis; later face recognition is carried out by matching the obtained features with the database features.

A Novel Based Approach For Pose Estimation And Normalization Using Multi-Class Svm And Affine Transformation For Face Recognition