Seminar about "increasing the Reliability of Angle Oriented Face Recognition using DCT " at Computing Faculty in Rabigh
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The following is a brief of the seminar:
Face Recognition is a well-known image processing technique that has
been used in many applications like Law enforcement security, Bio-Metric
Systems etc. In this paper complete image of face recognition algorithm
is proposed. In the prepared algorithm the local information is
extracted using angle oriented discrete cosine transforms and invokes
certain normalization techniques. To increase the Reliability of the
Face detection process, neighborhood pixel information is incorporated
into the proposed method. Also this study analyzes and compares the
obtained results from the proposed Angle oriented face recognition with
threshold based face detector to show the level of robustness using
texture features in the proposed face detector. It was verified that a
face recognition based on textual features can lead to an efficient and
more reliable face detection method compared with KLT (Karhunen Loeve
Transform), a threshold face detector.
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