Paper Info
Title
Model-based design for selecting fingerprint recognition algorithms for embedded systems.
Abstract
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.
Year
DOI
Venue
2012
10.1109/ICECS.2012.6463556
ICECS
Keywords
Field
DocType
CAD,embedded systems,field programmable gate arrays,fingerprint identification,mathematics computing,CAD tools,Matlab,Simulink,Xilinx FPGA,biometric recognition,embedded systems,fingerprint recognition,model-based design
Computer science,Fingerprint recognition,Algorithm,Field-programmable gate array,Model-based design,Fingerprint,Design flow,Software,Engineering design process,Biometrics,Embedded system
Conference
Citations 
PageRank 
References 
1
0.37
4
Authors
2
Name
Order
Citations
PageRank
Rosario Arjona1144.31
Iluminada Baturone214923.70