Face Recognition using improved local directional pattern approach for low resolution images
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Abstract
face recognition is the process that has been used for
surveillance and authentication purpose. In the process of face
recognition template features have been extracted from the face image
and matched with dataset features. In this paper a low resolution
based face recognition approach has been purposed. This approach is
used for computation of texture features from the image and these
features have been matched with dataset image features for
recognition purpose.
Keywords: blurred face images using LDP and DWT, False Acceptance
Rate and False Rejection Rate, EULBP for face recognition.
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