Similarity of Inference Face Matching On Angle Oriented Face Recognition

Abstract

Abstract: 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.

Keywords: Angle Oriented, Euclidian Distance, Face Recognition, Feature Extraction, Image texture features.