The biometrics are used to identify a person effectively. In this paper, we propose optimised Facerecognition system based on log transformation and combination of face image features vectors. The faceimages are preprocessed using Gaussian filter to enhance the quality of an image. The log transformationis applied on enhanced image to generate features. The feature vectors of many images of a single personimage are converted into single vector using average arithmetic addition. The Euclidian distance(ED) isused to compare test image feature vector with database feature vectors to identify a person. It isexperimented that, the performance of proposed algorithm is better compared to existing algorithms.
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