Title :
A high-level optimum design methodology for multimodal biometric systems
Author :
Gamassi, Marco ; Piuri, Vincenzo ; Sana, Daniele ; Scotti, Fabio
Author_Institution :
Dept. of Inf. Technol., Milan Univ., Crema, Italy
Abstract :
Biometric systems are designed by expert developers who look - with trial-and-error approaches - for reasonable solutions by considering the available hardware architecture, some - possibly conflicting - quality goals, and the application constrains. Typically drawbacks of these approaches are waste of time and results far from the optimum. We propose a new design methodology for multimodal biometric systems that applies high-level system design techniques to better structure the design procedure. The proposed methodology avoids the drawbacks of the common design practice and allows to create a flexible general-purpose and effective design environment for multimodal biometric systems.
Keywords :
biometrics (access control); embedded systems; feature extraction; sensor fusion; systems analysis; design environment; hardware architecture; high-level optimum design; high-level system design; multimodal biometric systems; multiple sensors; Authentication; Biometrics; Biosensors; Cellular phones; Design methodology; Feature extraction; Fingerprint recognition; Hardware; Sensor systems; Spatial databases;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8381-8
DOI :
10.1109/CIHSPS.2004.1360221