Ponencia
Model-based design for selecting fingerprint recognition algorithms for embedded systems
Autor/es | Arjona, Rosario
Baturone Castillo, María Iluminada |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2012 |
Fecha de depósito | 2017-03-24 |
Publicado en |
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ISBN/ISSN | 978-1-4673-1261-5 |
Resumen | Most of contributions for biometric recognition solutions (and specifically for fingerprint recognition) are implemented in software on PC or similar platforms. However, the wide spread of embedded systems means that ... Most of contributions for biometric recognition solutions (and specifically for fingerprint recognition) are implemented in software on PC or similar platforms. However, the wide spread of embedded systems means that fingerprint embedded systems will be progressively demanded and, hence, hardware dedicated solutions are needed to satisfy their constraints. CAD tools from Matlab-Simulink ease hardware design for embedded systems because automatize the design process from high-level descriptions to device implementation. Verification of results is set at different abstraction levels (high- level description, hardware code simulation, and device implementation). This paper shows how a design flow based on models facilitates the selection of algorithms for fingerprint embedded systems. In particular, the search of a solution for directional image extraction suitable for its application to singular point extraction is detailed. Implementation results in terms of area occupation and timing are presented for different Xilinx FPGAs. |
Identificador del proyecto | EC/FP7/248858
TEC2011-24319 |
Cita | Arjona, R. y Baturone Castillo, M.I. (2012). Model-based design for selecting fingerprint recognition algorithms for embedded systems. En 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Sevilla. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Model-based.pdf | 496.4Kb | [PDF] | Ver/ | |