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FPGA-based minutia matching for biometric fingerprint image database retrieval

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Abstract

In this paper, a parallel-matching processor architecture with early jump-out (EJO) control is proposed to carry out high-speed biometric fingerprint database retrieval. The processor performs the fingerprint retrieval by using minutia point matching. An EJO method is applied to the proposed architecture to speed up the large database retrieval. The processor is implemented on a Xilinx Virtex-E, and occupies 6,825 slices and runs at up to 65 MHz. The software/hardware co-simulation benchmark with a database of 10,000 fingerprints verifies that the matching speed can achieve the rate of up to 1.22 million fingerprints per second. EJO results in about a 22% gain in computing efficiency.

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Authors and Affiliations

  1. Institute of Electronics, Communications and Information Technology, School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

    Richard M. Jiang & Danny Crookes

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  1. Richard M. Jiang
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  2. Danny Crookes
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Correspondence to Danny Crookes.

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Jiang, R.M., Crookes, D. FPGA-based minutia matching for biometric fingerprint image database retrieval. J Real-Time Image Proc 3, 177–182 (2008). https://doi.org/10.1007/s11554-008-0079-8

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  • DOI: https://doi.org/10.1007/s11554-008-0079-8

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