Abstract
Touchless fingerprint recognition with high acceptance, high security, hygiene advantages, is currently a hot research field of biometrics. The background areas of touchless fingerprints are more complex and bigger than those of the contact. So the general methods for contact fingerprint images are difficult to achieve a good effect when extracting the full finger area. The purpose of this research is to compare the performance of finger area extraction based on different color model and illuminants, and then lays the foundation for touchless fingerprint identification. The fingerprint images are respectively collected under blue, green and red illuminants. And then, the Otsu based on YCbCr model, HSV model, and YIQ model is adopted to extract the finger area. Experimental results show that the Otsu based on the Cb component of YCbCr model and S component of HSV model can achieve excellent extraction results under blue illuminant.
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Acknowledgments
This work was supported by the Fundamental Research Funds for the Central Universities of China, Natural Science Foundation of China, and Natural Science Fund of Heilongjiang Province of China under Grand No. HEUCFJ170404, 61573114, 61703119, F2015033 and QC2017070.
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Wang, K., Cao, Y., Xing, X. (2017). Contrast Research on Full Finger Area Extraction Method of Touchless Fingerprint Images Under Different Illuminants. In: Zhou, J., et al. Biometric Recognition. CCBR 2017. Lecture Notes in Computer Science(), vol 10568. Springer, Cham. https://doi.org/10.1007/978-3-319-69923-3_29
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DOI: https://doi.org/10.1007/978-3-319-69923-3_29
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