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SCIENTIA SINICA Informationis, Volume 49, Issue 1: 42-56(2019) https://doi.org/10.1360/N112018-00018

A fingerprint-template-generating method based on the 3D mapping of local minutiae

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  • ReceivedJan 18, 2018
  • AcceptedApr 20, 2018
  • PublishedJan 8, 2019

Abstract

To enhance the security and irreversibility performance of the fingerprint template, a fingerprint-template-generating method is proposed based on the 3D mapping of local minutiae. First, we extract fingerprint minutiae features after preprocessing the fingerprint image and select the minutiae using parameter adaptive circular areas. Second, we project the minutiae into a line. Subsequently, quantization, mapping, and modulo operation are performed on the projected vectors to generate a fixed-length binary bit string. Finally, a fingerprint template is generated by combining the user's PIN code with a binary bit string. The experiments performed on FVC2002-DB1 and DB2 show that this template has advantages over the traditional ones in terms of recognition, revocation, non-invertibility, and performance.


Funded by

国家自然科学基金(61301091)

陕西省自然科学基础研究计划项目(2017JQ6010)


References

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  • Figure 1

    (Color online) The three-dimensional mapping of minutiae

  • Figure 2

    Process diagram of proposed method for fingerprint template generation

  • Figure 3

    (Color online) Parameter adaptive circular areas

  • Figure 4

    (Color online) The distance and angle formed by minutiae pair $(m_{j},m_{i})$

  • Figure 5

    (Color online) Features of projected minutiae

  • Figure 6

    (Color online) Three-dimensional array with cell size $\sigma_{L},~\sigma_{\gamma},~\sigma_{\phi}$

  • Figure 7

    (Color online) Genuine and imposter distributions in the safe-PIN scenario (with different keys). (a) FVC2002-DB1; (b) FVC2002-DB2

  • Figure 8

    (Color online) Genuine and imposter distributions in the stolen-PIN scenario (with the same key). (a) FVC2002-DB1; (b) FVC2002-DB2

  • Figure 9

    (Color online) FRR/FAR of FVC2002-DB1 and -DB2 in the stolen-PIN scenario. (a) FVC2002-DB1;protectłinebreak (b) FVC2002-DB2

  • Figure 10

    (Color online) ROC curves of Wang's method and proposed method in the stolen-PIN scenario

  • Figure 11

    (Color online) Pseudo-imposter and imposter (with different key) distributions for FVC2002-DB1 and -DB2. (a) FVC2002-DB1; (b) FVC2002-DB2

  • Table 1   Information about the databases used in our experiments
    Characteristics FVC2002-DB1 FVC2002-DB2
    Sensor Identix TouchView$\amalg$ (optical) Biometrika FX2000 (optical)
    Number of fingers 100 100
    Number of image per finger 8 8
    Resolution 500 dpi 569 dpi
    Image size 388 $\times$ 374 296$\times$560
    Quality Good Medium
  • Table 2   Parameter settings in the experiments
    Parameter Description Value range
    $\rho_{1},\rho_{2}$ The slopes of $y_{1},y_{2}$ $[-5,5]$
    $~c_{1},c_{2}~$ The $y$-intercepts of $y_{1},y_{2}$ $\{~-10,-9,\ldots,~10~\}$
    $~c_{L},c_{\gamma}$ The length and width of the cell $\{~15,16,\ldots,~30~\}$
    $~c_{\phi}~$ The height of the cell $\{~20,21,\ldots,~35~\}$
    $~G~$ The size of binary bit string $\{~200,250,\ldots,~3000~\}$
    $~P~$ The rows of pseudo-random matrix ($R$) $\{~300,400,\ldots,~2000~\}$
  • Table 3   EER of different parameters $(G,P)$
    $G$ $P$ FVC2002-DB1 FVC2002-DB2
    200 300 0.32 0.24
    1000 0.21 0.13
    1000 300 0.19 0.08
    1000 0.18 0.07
    1450 300 0.17 0.06
    1000 0.15 0.06
  • Table 4   EER comparison between the Wang's method and proposed method
    Methods Safe-PIN Stolen-PIN
    -DB1 (%) -DB2 (%) -DB1 (%) -DB2 (%)
    Wang et al. [26] 0 0 0.19 1
    Proposed method 0 0 0.1717 0.0606
  • Table 5   EER comparison under the stolen-PIN scenario
    Method FVC2002-DB1 FVC2002-DB2
    Lee and Kim [13] 10.30 9.50
    Jin et al. [15] 5.19 5.65
    Sandhya and Prasad [22] 4.71 3.44
    Das et al. [29] 2.27 3.79
    Jin et al. [30] 4.36 1.77
    Wang and Hu [19] 2 2.3
    Wang and Hu [24] 3 2
    Wang et al. [25] 1 2
    Proposed method 0.17 0.06

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