A Note on Authentication Accuracy with Multiple Biometric Images

This paper conducts an analysis on accuracy of biometric authentication. By increasing the number of biometric images for authentication, authentication accuracy is expected to be improved. However, the relation between the number of images and accuracy is not trivial. This paper considers simple algorithms for verification and identification with multiple biometric images for each person. The algorithms are based on the ideas of a majority vote and the mean of similarities for treating results of comparisons with multiple images. The effects of the number of images on the error rates of the algorithms are examined with practical palm print images. The result implies that considering the mean of the similarities with multiple images is useful to improve authentication accuracy.