Analysis of Response Performance Characteristics for Identification Using a Matching Score Generation Model

摘要

To make person authentication systems be more useful and practical, we have developed an identification algorithm, and also showed that the authentication accuracy depends on response performance. Current identification algorithm employs a comparison computation function that is optimized for one-to-one comparison. By optimizing a comparison computation function, however, it might be possible to improve response performance. In this paper, we describe design guidelines for a comparison computation function for improving the response performance of the identification. To show the guidelines, we clarify the relation between the characteristics of a matching score distribution and response performance using a matching score generation model, and also demonstrate the effectiveness of the design guidelines with a simulation using an example of another comparison computation function.