부산대학교 도서관

In this paper, a personal identification method is presented for patients visiting departments of ophthalmology. The proposed method prepares data from 32×256-sized matrices, which are inspection results measured by Optical Coherence Tomography, both at the stage of the registration and at that of the collation. It considers a three-tuple with one of top largest Pachymetry values and coordinates specifying its position in the matrix to be a characteristic point, and calculates degree of similarity between any couple of a three-tuple in the registered data and that in the collation data. It employs the sum of the above degrees to determine some subject with registered data as a person to be identified. In addition, it defines some threshold values associated with Instantaneous Keratometric, Reflective Keratometric, and Pachymetry, to eliminate false acceptance as much as possible. Experimental results establish that the proposed method can improve a false acceptance rate while keeping a high identification rate.