Abstract
牋Fingerprint enhancement and orientation field estimation are two of the core algorithms of fingerprint preprocessing. Performance of existing methods is usually poor for low-quality fingerprint images. This paper proposes to use a directional diffusion filter bank so that any local region of a fingerprint image can be always effectively enhanced by a filter of an optimal direction. A final enhanced image is obtained by selecting optimally enhanced pixels from the filter bank according to a local quality measurement based on a spectrum analysis, and at the same time, an orientation field is given by the selected filter for each pixel. Experiments show that the algorithm is superior to the existing methods and robust for images of poor quality.
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Acknowledgments
牋 This work is partially supported by the Doctoral Fund of Guangxi University of Science and Technology (14Z12); Scientific Fund of Guangxi University of Science and Technology (174522); Scientific Fund of Guangxi University of Science and Technology (20161309); the Basic Ability Improvement Project of Young and Middle-aged Teachers in Guangxi Colleges and Universities (2017KY0359); the Basic Ability Improvement Project of Young and Middle-aged Teachers in Guangxi Colleges and Universities (2017KY036);
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Liu, H., Yang, C., Lan, Z. (2019). Directional Diffusion Filter Bank and Texture Quality Measurement for Robust Orientation Estimation and Enhancement of Fingerprint Images. In: Jiang, M., Ida, N., Louis, A., Quinto, E. (eds) The Proceedings of the International Conference on Sensing and Imaging. ICSI 2017. Lecture Notes in Electrical Engineering, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-91659-0_28
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DOI: https://doi.org/10.1007/978-3-319-91659-0_28
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