Abstract
This paper proposes a new method to extract pores on high resolution fingerprints. The basic idea of this method is to binarize the fingerprint images based on multi-scale morphological transformation, and then extract pores by different strategies. The closed pores are extracted by the size of connected regions, and the open pores are detected using the skeleton of valleys. The noise and false detected points are finally removed by using a comprehensive selection rule. Experimental results have shown that the proposed method can improve the accuracy of existing methods.
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Acknowledgments
The work is supported by the NSFC funds (61332011, 61271344, 61403257), Shenzhen Fundamental Research funds JCYJ20140508160910917, JCYJ20150403161923528, JCYJ20150324140036868, Medical Biometrics Perception and Analysis Engineering Laboratory, Shenzhen, China.
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Xu, Y., Lu, G., Liu, F., Li, Y. (2017). Fingerprint Pore Extraction Based on Multi-scale Morphology. 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_31
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DOI: https://doi.org/10.1007/978-3-319-69923-3_31
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