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Face recognition is a well-known image processing technique that has been used in many applications like law enforcement security, Biometric 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 paper 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.