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3D Fingerprint Image Acquisition Methods

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Contactless 3D Fingerprint Identification

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

This chapter presents a range of contactless 3D fingerprint imaging techniques and provides comparative technical details that can determine the suitability of a 3D fingerprint sensor for a given application. 3D fingerprint image acquisition methods presented in this chapter have been grouped into four categories, namely optical, non-optical, geometric and photometric methods. This chapter provides details on five different candidate methods to acquire 3D fingerprint images, namely stereo vision, pattern lighting, optical coherence tomography, ultrasound imaging and photometric stereo method. It also includes other potential 3D imaging techniques, under other methods section, which can be investigated for acquiring contactless 3D fingerprint images.

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References

  1. Forensic Image Comparator3D (2018) http://www.sciencegl.com/fingerprint_3d/3D_AFIS.htm

  2. Liu F, Zhang D (2013) Touchless multiview fingerprint acquisition and mosaicking. IEEE Trans Instrum Meas 62:2492–2502

    Article  MathSciNet  Google Scholar 

  3. Konica M, Non-contact 3D Digitizer Vivid 910/VI-910: instruction manual. Available online: http://www.konicaminolta.com/instruments/download/instructionmanual/3d/pdf/vivid-910vi-910instructioneng.pdf

  4. The Hong Kong Polytechnic University Contact-free 3D/2D Hand Images Database (Ver. 1.0), http://www4.comp.polyu.edu.hk/~csajaykr/myhome/database_request/3dhand/Hand3D.htm

  5. Hartley R, Zisserman A (2003) Multiple view geometry in computer vision, 2nd edn. Cambridge University Press, Cambridge, UK

    MATH  Google Scholar 

  6. Parizale G, Diaz-Santana E, Hauke R (2005) A multi-camera touchless device to acquire 3D rolled equivalent fingerprints. In: Advances in biometrics, LNCS 3832. Springer, Berlin, pp 244–250

    Google Scholar 

  7. Labati RD, Genovese A, Piuri V, Scotti F (2016) Towards unconstrained fingerprint recognition: a fully touchless 3D system based on two views on the move. IEEE Trans Syst Man Cybern 46:202–219

    Article  Google Scholar 

  8. Fiumara G, Tabassi E et al (2018) Nail to nail fingerprint challenge, NIST IR 8210. https://doi.org/10.6028/NIST.IR.8210

  9. Geng J (2011) Structured-light 3D surface imaging: a tutorial. Adv Opt Photonics 3:128–160. https://doi.org/10.1364/AOP.3.000128

    Article  Google Scholar 

  10. Karpinsky N, Hoke M, Chen V, Zhang S (2013) High-resolution real-time 3D shape measurement on a portable device. In: Mechanical Engineering conference presentations, papers, and proceedings. Paper 67

    Google Scholar 

  11. Salvi J, Pages J, Battle J (2004) Pattern codification strategies in structured light systems. Pattern Recogn 37:827–849

    Article  Google Scholar 

  12. Wang Y, Hassebrook LG, Lau DL (2010) Data acquisition and processing of 3-D fingerprints. In: IEEE transactions information forensics and security, Dec 2010, pp 750–760

    Google Scholar 

  13. Huang S, Zhang Z, Zhao Y, Dai J, Chen C, Xu Y, Zhang E, Xie L (2014) 3D fingerprint imaging system based on full-field fringe projection profilometry. Opt Lasers Eng 52:123–130

    Article  Google Scholar 

  14. Yalla V, Hassebrook LG (2005) Very-high resolution 3D surface scanning using multi-frequency phase measuring profilometry. Proceedings of SPIE 5798, pp 44–53

    Google Scholar 

  15. Zhang ZH, Towers CE, Towers DP (2006) Time efficient colour fringe projection system for 3-D shape and colour using optimum 3-frequency interferometry. Opt Express 14:6444–6455

    Article  Google Scholar 

  16. Towers CE, Towers DP, Jones JDC (2005) Absolute fringe order calculation using optimised multi-frequency selection in full-field porfilometry. Opt Lasers Eng 43:788–800

    Article  Google Scholar 

  17. Flashscan3d, http://www.flashscan3d.com. Accessed May 2018

  18. Chatterjee A, Bhatia V, Prakash S (2017) Anti-spoof touchless 3D fingerprint recognition system using single shot fringe projection and biospeckle analysis. Opt Lasers Eng 95:1–7

    Article  Google Scholar 

  19. Cheng Y, Larin KV (2006) Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis. Appl Opt 45:9238–9245

    Article  Google Scholar 

  20. Gabai H, Shaked NT (2012) Dual-channel low-coherence interferometry and its application to quantitative phase imaging of fingerprints. Opt Express 20(24):26906–26912

    Article  Google Scholar 

  21. Sousedik C, Breithaupt R, Busch C (2013) Volumetric fingerprint data analysis using optical coherence tomography. In: Proceedings of BIOSIG, Darmstadt, Sep 2013

    Google Scholar 

  22. Costa HSG, Bellon ORP, Silva L, Bowden AK (2016) Towards biometric identification using 3D epidermal and dermal fingerprints. In: Proceedings of ICIP, pp 3937–3941

    Google Scholar 

  23. Nehaus K, O’Gorman S, McNamara PM, Alexandrov S, Hogan J, Wilson C, Leahy MJ (2017) Simultaneous en-face imaging of multiple layers with multiple reference optical coherence tomography. J Biomed Opt 22

    Google Scholar 

  24. Anksorius E, Boccara AC (2017) Fast subsurface fingerprint imaging with full-field optical coherence tomography system equipped with a silicon camera. J Biomed Opt 22:096002

    Google Scholar 

  25. Wiser W, Bidermann BR, Klein T, Eigenwillig CM, Huber R (2010) Multi megahertz OCT: high quality 3D imaging at 20 million A-scans and 4.5 GVoxels per second. Opt Express 18:14685–14704

    Article  Google Scholar 

  26. Lu Y, Tang H, Fung S, Wang Q, Tsai JM, Daneman M, Boser BE, Horsley DA (2015) Ultrasonic fingerprint sensor using a piezoelectric micromachined ultrasonic transducer array integrated with complementary metal oxide semiconductor electronics. Appl Phys Lett 106:263503

    Article  Google Scholar 

  27. Tang H-Y, Lu Y, Assaderagh F, Daneman M, Jiang X, Lim M, Li X, Ng E, Singhal U, Tsai JM, Horsley DA, Boser BE (2016) 3D ultrasonic fingerprint sensor-on-a-chip. In: Proceedings of international solid state circuits conference ISSCC 2016, pp 202–204

    Google Scholar 

  28. Jiang X, Lu Y, Tang H-Y, Tsai JM, Ng EJ, Daneman MJ, Boser BE, Horsley DA (2017) Monolithic ultrasound fingerprint sensor. Microsyst Nanoeng 3:17059. https://doi.org/10.1038/micronano.2017.59

    Article  Google Scholar 

  29. Buelthoff HH (1991) Shape-from-X: psychophysics and computation. In: Fibers’ 91, SPIE, Boston, MA, pp 305–330

    Google Scholar 

  30. Balogiannis G, Yova D, Politopoulos K (2014) 3D Reconstruction of skin surface using an improved shape-from-shading technique. In: Proceedings of IFMBE, vol 41. Springer, pp 439–442. https://doi.org/10.1007/978-3-319-00846-2_109

    Google Scholar 

  31. Balogiannisa G, Yovaa D, Politopoulos K (2016) A novel non-contact single camera 3D fingerprint imaging system based on image decomposition and the cylindrical ridge model approximation. Int J Comput 20(1):174–198

    Google Scholar 

  32. Basler Time-of-Flight Camera, https://www.baslerweb.com/en/products/cameras/3d-cameras/time-of-flight-camera. May 2018

  33. Kumar A, Kwong C (2013) Towards contactless, low-cost and accurate 3D fingerprint identification. In: Proceedings of CVPR, Portland, USA, June 2013, pp 3438–3443

    Google Scholar 

  34. Aum J, Kim J-H, Jeong J (2016) Live acquisition of internal fingerprint with automated detection of subsurface layers using OCT. IEEE Photonics Technol Lett 28:163–166

    Article  Google Scholar 

  35. Liu F, Zhang D (2014) 3D fingerprint reconstruction system using feature correspondences and prior estimated finger model. Pattern Recogn 47:178–193

    Article  Google Scholar 

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Correspondence to Ajay Kumar .

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Kumar, A. (2018). 3D Fingerprint Image Acquisition Methods. In: Contactless 3D Fingerprint Identification. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-67681-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-67681-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67680-7

  • Online ISBN: 978-3-319-67681-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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