Journal of Information Security Research Serina Egawa1, Ali Ismail Awad2, Kensuke Baba1 6 3 2015 http://www.dline.info/jisr/fulltext/v6n3/v6n3_2.pdf This paper evaluates an existing algorithm for biometric identification. In identification based on biometric images, the number of image comparisons is an important factor to estimate the total processing time in addition to the processing time of a single image comparison. Maeda et al. proposed an identification algorithm which reduces the number of image comparisons. This paper evaluates the algorithm in terms of the processing time and the accuracy with the features extracted by SIFT from palmprint images. The evaluation in this paper proves that the algorithm is applicable to the SIFTbased palmprint features.