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Título: | Model-based design for selecting fingerprint recognition algorithms for embedded systems |
Autor: | Arjona, Rosario CSIC ORCID; Baturone, Iluminada CSIC ORCID | Fecha de publicación: | 2012 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS): 579-582 (2012) | 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 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. | Descripción: | Comunicación presentada al "19th IEEE International Conference on Electronics, Circuits and Systems" celebrada en Sevilla (España) del 9 al 12 de Diciembre del 2012. | Versión del editor: | http://dx.doi.org/10.1109/ICECS.2012.6463556 | URI: | http://hdl.handle.net/10261/84244 | DOI: | 10.1109/ICECS.2012.6463556 | Identificadores: | doi: 10.1109/ICECS.2012.6463556 isbn: 978-1-4673-1261-5 |
Aparece en las colecciones: | (IMSE-CNM) Libros y partes de libros |
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Model-based.pdf | 502,42 kB | Adobe PDF | Visualizar/Abrir |
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