Paper
30 April 2022 Fingerprint minutiae detection using improved Tamura’s thinning
Takeru Yamanaka, Akira Kitsuda, Tomohiko Ohtsuka
Author Affiliations +
Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217732 (2022) https://doi.org/10.1117/12.2624197
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China
Abstract
This study proposes a new fingerprint minutiae detection method with a short processing time and high accuracy. This method removes spurs, thus preserving the connectivity of the original image following the Tamura thinning. In the proposed method, the fingerprint minutiae can be correctly detected by inspecting pixels in the 8-connection of the pixel of interest, even if the line width is not equal to one. Experimental results demonstrated that the detection rates of the proposed and conventional methods are approximately the same, while the processing time of the proposed method is 1/30th of that of the conventional method.
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Takeru Yamanaka, Akira Kitsuda, and Tomohiko Ohtsuka "Fingerprint minutiae detection using improved Tamura’s thinning", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217732 (30 April 2022); https://doi.org/10.1117/12.2624197
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KEYWORDS
Inspection

Binary data

Databases

Image restoration

Logic

Parallel processing

Ridge detection

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