Affiliation:
1. National University of Defense Technology, Changsha, China
Abstract
Fingerprint matching is a key procedure in fingerprint identification applications. The minutiae-based fingerprint matching algorithm is one of the most typical algorithms achieving a reasonably correct recognition rate. This study proposes a coarse-grained parallel architecture called fingerprint matching core (FMC) to accelerate fingerprint matching. The proposed architecture has a two-level parallel structure (i.e., parallel among groups (PAG) and parallel in group (PIG)). A multirequest controller is added to the PAG structure to obtain a concurrent operation of the multiple processing element group (PEG). The DDR3 controller is used in the PIG structure to read eight minutiae from eight different fingerprints and realize the simultaneous computation of the eight PEs. The whole system is implemented on a Xilinx FPGA board with a Virtex VII XC7VX485T chip. The 16-PEG FMC achieves a throughput of about 9.63 million fingerprint pairs per second, which is larger than that achieved on a Tesla K20c platform. The software execution times are also measured on the 2.93GHz Intel Xeon 5670, 2.3GHz AMD Opteron(tm) Processor 6376, and Tesla K20c platforms. The Intel Xeon 5670 has two processors with 12 cores, and the AMD Opteron(tm) Processor 6376 has two processors with 16 cores. Moreover, the throughput is about 31 times that achieved on a 2.93GHz Intel Xeon 5670 single core.
Funder
National High Technology Research and Development Program of China
National Science Foundation of China
Publisher
Association for Computing Machinery (ACM)
Reference19 articles.
1. S. Bai J. P. Marques M. T. McMahon and S. H. Barry. 2012. GPU-Accelerated Fingerprint Matching. Technical Report. http://on-demand.gputechconf.com/gtc/2009/posters/P0373_11-2610_GTC2011_POSTER-MITRE_GPU-Accelerated_Fingerprint_Matching_v1.pdf. S. Bai J. P. Marques M. T. McMahon and S. H. Barry. 2012. GPU-Accelerated Fingerprint Matching. Technical Report. http://on-demand.gputechconf.com/gtc/2009/posters/P0373_11-2610_GTC2011_POSTER-MITRE_GPU-Accelerated_Fingerprint_Matching_v1.pdf.
2. A Small and High-Performance Coprocessor for Fingerprint Match-on-Card
3. An FPGA-Based Embedded System for Fingerprint Matching Using Phase-Only Correlation Algorithm
4. A Multicore Embedded Processor for Fingerprint Recognition
5. Fingerprint matching based on local relative orientation field
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