Research article

Core point pixel-level localization by fingerprint features in spatial domain


  • Received: 22 September 2021 Accepted: 10 November 2021 Published: 20 November 2021
  • Citation: Xueyi Ye, Yuzhong Shen, Maosheng Zeng, Yirui Liu, Huahua Chen, Zhijing Zhao. Core point pixel-level localization by fingerprint features in spatial domain[J]. Mathematical Biosciences and Engineering, 2022, 19(1): 707-737. doi: 10.3934/mbe.2022032

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    [3] H. W. Jung, J. H. Lee, Noisy and incomplete fingerprint classification using local ridge distribution models, Pattern Recognit., 48 (2015), 473-484. doi: 10.1016/j.patcog.2014.07.030. doi: 10.1016/j.patcog.2014.07.030
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    [9] N. T. Le, D. H. Le, J. W. Wang, C. C. Wang, Entropy-based clustering algorithm for fingerprint singular point detection, Entropy, 21 (2019), 786. doi: 10.3390/e21080786. doi: 10.3390/e21080786
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