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ROSE: real one-stage effort to detect the fingerprint singular point based on multi-scale spatial attention

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Abstract

Detecting the singular point accurately and efficiently is one of the most important tasks for fingerprint recognition. In recent years, deep learning has been gradually used in the fingerprint singular point detection. However, the existing deep learning-based singular point detection methods are either two-stage or multi-stage, which makes them time-consuming. More importantly, their detection accuracy is yet unsatisfactory, especially for the low-quality fingerprint. In this paper, we make a Real One-Stage Effort to detect fingerprint singular points more accurately and efficiently, and therefore, we name the proposed algorithm ROSE for short, in which the multi-scale spatial attention, the Gaussian heatmap and the variant of focal loss are integrated together to achieve a higher detection rate. Experimental results on the datasets FVC2002 DB1 and NIST SD4 show that our ROSE outperforms the state-of-the-art algorithms in terms of detection rate, false alarm rate and detection speed.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grants 61876139 and 61906149, the National Cryptography Development Fund under Grant MMJJ20170208, the Natural Science Basic Research Plan in Shaanxi Province of China under Grants 2019JM-129 and 2021JM-136, the Zhejiang Provincial Natural Science Foundation of China under Grant GF20F010018, the National Natural Science Foundation of China under Grant U1709214, and the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. The School of Life Science and Technology, Xidian University, Xi’an, 710071, China

    Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng Cao & Heng Zhao

  2. The Zhejiang Provincial Key Laboratory of Information Network Technology, College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang, China

    Eryun Liu

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  1. Liaojun Pang
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  2. Jiong Chen
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  4. Zhicheng Cao
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  6. Heng Zhao
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Correspondence to Heng Zhao.

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Pang, L., Chen, J., Guo, F. et al. ROSE: real one-stage effort to detect the fingerprint singular point based on multi-scale spatial attention. SIViP 16, 669–676 (2022). https://doi.org/10.1007/s11760-021-02006-0

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