Continuous versus exclusive classification for fingerprint retrieval
Pattern Recognition Letters
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
A High-Dimensional Indexing Scheme for Scalable Fingerprint-Based Identification
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
A New Machine Learning Approach to Fingerprint Classification
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
A Structural Approach to Fingerprint Classification
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Fingerprint Classification by Directional Fields
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
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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.