FPGA-based minutia matching for biometric fingerprint image database retrieval

Jiang, Richard M. and Crookes, Danny (2008) FPGA-based minutia matching for biometric fingerprint image database retrieval. Journal of Real-Time Image Processing, 3 (3). pp. 177-182. ISSN 1861-8200

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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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Journal Article
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Journal of Real-Time Image Processing
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25 Mar 2019 09:30
Last Modified:
19 Sep 2023 02:08