Directional Diffusion Filter Bank and Texture Quality Measurement for Robust Orientation Estimation and Enhancement of Fingerprint Images

  • Hong Liu
  • Chao Yang
  • Zengmei Lan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 506)


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.


Fingerprint orientation field estimation Fingerprint enhancement Spectrum analysis Directional diffusion filter bank Quality measurement 



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);


  1. 1.
    Zhu E, Yin JP, Zhang GM (2005) Fingerprint matching based on global alignment of multiple reference minutiae. Pattern Recogn 38(10):1685–1694CrossRefGoogle Scholar
  2. 2.
    Hong L, Wan Y, Jain A (1998) Fingerprint image enhancement: algorithm and performance evaluation[J]. IEEE Transact Pattern Anal Machine Intel 20(8):777–789CrossRefGoogle Scholar
  3. 3.
    Turroni F, Maltoni D, Cappelli R et al (2011) Improving fingerprint orientation extraction[J]. IEEE Transact Inform Forens Secur 6(3):1002–1013CrossRefGoogle Scholar
  4. 4.
    Medinapérez MA, Gutiérrezrodríguez A, Garcíaborroto M (2009) Improving fingerprint matching using an orientation-based minutia descriptor[J]. Lect Notes Comput Sci 5856(5856):121–128CrossRefGoogle Scholar
  5. 5.
    Kass M, Witkin A (1987) Analyzing oriented patterns[J]. Comp Vision Graph Image Process 37(3):362–385CrossRefGoogle Scholar
  6. 6.
    Gottschlich C, Mihailescu P, Munk A (2009) Robust orientation field estimation and extrapolation using semilocal line sensors[J]. IEEE Transact Inform Forens Secur 4(4):802–811CrossRefGoogle Scholar
  7. 7.
    Brox T, Weickert J, Burgeth B et al (2006) Nonlinear structure tensors[J]. Image Vision Comput 24(1):41–55CrossRefGoogle Scholar
  8. 8.
    Yoon S, Feng J, Jain AK (2011) Latent fingerprint enhancement via robust orientation field estimation[C]. In: International joint conference on biometrics. IEEE, pp 1–8Google Scholar
  9. 9.
    Oh SK, Lee JJ, Park CH et al (2003) New fingerprint image enhancement using directional filter Bank.[J]. Union Agency – Science PressGoogle Scholar
  10. 10.
    Khan MAU, Khan TM (2013) Fingerprint image enhancement using data driven directional filter Bank[J]. Optik - Int J Light Elect Opt 124(23):6063–6068CrossRefGoogle Scholar
  11. 11.
    Gilboa G, Sochen N, Zeevi YY (2002) Forward-and-backward diffusion processes for adaptive image enhancement and denoising[J]. IEEE Trans Image Process 11(7):689–703CrossRefGoogle Scholar
  12. 12.
    JianGang C, Jie T, Yu Liang HE et al (2004) Fingerprint enhancement algorithm based on nonlinear diffusion filter [J]. Acta Automat Sin 30(6):854–862Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Hong Liu
    • 1
  • Chao Yang
    • 1
  • Zengmei Lan
    • 1
  1. 1.School of Computer Science and Communication EngineeringGuangxi University of Science and TechnologyLiuZhouPeople’s Republic of China

Personalised recommendations