Depth information is one of the most important factor for the recognition of a digital face image. Range images are ve y usefil, when comparing one face with other faces, because of implicating depth information. As the processing for the whole face produces a lot of calculations and data, face images can be represented in terms of a vector of feature descriptors for a local area. In this papel; depth areas of a 3 dimensional(3D) face image were exiracted by the contour linefi-om some depth value. These were resampled and stored in consecutive location in feature vector using multiple feature method. A comparison beiween two faces was made based on their distance in the feature space, using Euclidian distance. This paper reduced the number of index data in the database and used fewer feature vectors than other methods. Proposed algorithm can be highly recognized for using local depth information and less feature vectors on the face.

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