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FPGA-based minutia matching for biometric fingerprint image database retrieval

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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FPGA-based minutia matching for biometric fingerprint image database retrieval. / Jiang, Richard M.; Crookes, Danny.
In: Journal of Real-Time Image Processing, Vol. 3, No. 3, 09.2008, p. 177-182.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jiang, RM & Crookes, D 2008, 'FPGA-based minutia matching for biometric fingerprint image database retrieval', Journal of Real-Time Image Processing, vol. 3, no. 3, pp. 177-182. https://doi.org/10.1007/s11554-008-0079-8

APA

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

Vancouver

Jiang RM, Crookes D. FPGA-based minutia matching for biometric fingerprint image database retrieval. Journal of Real-Time Image Processing. 2008 Sept;3(3):177-182. doi: 10.1007/s11554-008-0079-8

Author

Jiang, Richard M. ; Crookes, Danny. / FPGA-based minutia matching for biometric fingerprint image database retrieval. In: Journal of Real-Time Image Processing. 2008 ; Vol. 3, No. 3. pp. 177-182.

Bibtex

@article{8a122f18b17d4e348a64946d49538519,
title = "FPGA-based minutia matching for biometric fingerprint image database retrieval",
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.",
keywords = "Biometric image retrieval, Fingerprint matching, Reconfigurable computing",
author = "Jiang, {Richard M.} and Danny Crookes",
year = "2008",
month = sep,
doi = "10.1007/s11554-008-0079-8",
language = "English",
volume = "3",
pages = "177--182",
journal = "Journal of Real-Time Image Processing",
issn = "1861-8200",
publisher = "Springer Verlag",
number = "3",

}

RIS

TY - JOUR

T1 - FPGA-based minutia matching for biometric fingerprint image database retrieval

AU - Jiang, Richard M.

AU - Crookes, Danny

PY - 2008/9

Y1 - 2008/9

N2 - 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.

AB - 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.

KW - Biometric image retrieval

KW - Fingerprint matching

KW - Reconfigurable computing

U2 - 10.1007/s11554-008-0079-8

DO - 10.1007/s11554-008-0079-8

M3 - Journal article

VL - 3

SP - 177

EP - 182

JO - Journal of Real-Time Image Processing

JF - Journal of Real-Time Image Processing

SN - 1861-8200

IS - 3

ER -