Skip to main content

Lip Print Pattern Extraction Using Top-Hat Transform

  • Conference paper
  • First Online:
  • 1010 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 403))

Abstract

Lip print examination is a very difficult and complex task even for modern forensic departments. Computer systems that will assist a crime scene expert in identification of this kind of evidence are very desired in the forensic science community. Unfortunately, such softwares do not exist as methods of automatic lip print identification are still insufficiently developed. This paper presents an original method of lip print pattern extraction that can be used as a preprocessing stage in the lip print identification process. Research shows that the proposed method increased lip print identification accuracy for all tested template matching algorithms. After further improvements, our method can be used as a base for creating a personal identification system based on lip prints.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Siegel, J., Saukko, P., Knupfer, G.: Encyclopedia of Forensic Science, pp. 358–362. Academic Press, London (2000)

    Google Scholar 

  2. Suzuki, K., Tsuchihashi, Y.: Personal identification by means of lip prints. J. Forensic Med. 17, 52–57 (1970)

    Google Scholar 

  3. Tsuchihashi, Y.: Studies on personal identification by means of lip prints. Forensic Sci. 3, 233–248 (1974)

    Article  Google Scholar 

  4. Kasprzak, J.: Possibilities of cheiloscopy. Forensic Sci. Int. 46, 145–151 (1990)

    Article  Google Scholar 

  5. Kasprzak, J.: Cheiloscopy, Forensic Science International, pp. 358–362 (2000)

    Google Scholar 

  6. Hirth, L., Gottsche, H., Goedde, H.W.: Lip prints—variability and genetics. Natl Libr. Med. 30, 47–62 (1975)

    Google Scholar 

  7. Sivapathasundharam, B., Prakash, P.A., Sivakumar, G.: Lip prints (Cheiloscopy). Indian J. Dental Res. 12, 234 (2001)

    Google Scholar 

  8. Coward, R.C.: The stability of lip pattern characteristics over time. J. Forensic Odontostomatol. 25(2), 40–56 (2007)

    Google Scholar 

  9. Eldomiaty, M.A., Anwar, R.I., Algaidi, S.A.: Stability of lip-print patterns: A longitudinal study of Saudi females. J. Forensic Legal Med. 22, 154–158 (2014)

    Article  Google Scholar 

  10. Popa, M.F., Stefanescu, C., Corici, P.D.: Medical-legal identification methods with the aid of cheiloscopy. Roman. J. Legal Med. 21, 215–218 (2013)

    Article  Google Scholar 

  11. The People of the State of Illinois, Plaintiff-Appellee, v. Lavelle L. Davis, Defendant-Appellant, http://www.leagle.com

  12. Newton, M.: The Encyclopedia of Crime Scene Investigation, p. 42 (2008)

    Google Scholar 

  13. Castello, A., et al.: Luminous lip-prints as criminal evidence. Forensic Sci. Int. 155, 185–187 (2005)

    Article  Google Scholar 

  14. Sharma, P., Saxwna, S., Rathod, V.: Comparative reliability of cheiloscopy and palatoscopy in human identification. Indian J. Dental Res. 20(4), 453–457 (2009)

    Article  Google Scholar 

  15. Gupta, S., Gupta, K., Gupta, O.P.: A study of morphological patterns of lip prints in relation to gender of North Indian population. J. Oral Biol. Craniofac. Res. 1(1), 12–16 (2011)

    Article  Google Scholar 

  16. Eldomiaty, M.A., Al-gaidi, S.A., Elayat, A.A., Safwat, M.D.E., Galal, S.A.: Morphological patterns of lip prints in Saudi Arabia at Almadinah Almonawarah province. Forensic Sci. Int. 200, 179.e1–179.e9 (2010)

    Google Scholar 

  17. Utsuno, H., et al.: Preliminary study of post mortem identification using lip prints. Forensic Sci. Int. 149(2–3), 129–132 (2005)

    Article  Google Scholar 

  18. Kim, J.O., et al.: Lip print recognition for security systems by multi resolution architecture. Future Gener. Comput. Syst. 20, 295–301 (2004)

    Article  Google Scholar 

  19. Sharma, P., Deo, S., Venkateshan, S., Vaish, A.: Lip print recognition for security systems: an up-coming biometric solution. In: Tsihrintzis George, A., Virvou, M., Jain Lakhmi, C., Howlett Robert, J. (eds.) IIMSS 2011, vol. 11, pp. 347–359. SIST Springer, Heidelberg (2011)

    Google Scholar 

  20. Bakshi, S., Raman, R., Sa, P.K.: Lip pattern recognition based on local feature extraction. In: India Conference (INDICON), pp. 1–4 (2011)

    Google Scholar 

  21. Gomez, E., Travieso, C.M., Briceno, J.C., Ferrer, M.A.: Biometric identification system by lip shape. In: Security Technology, pp. 39–42 (2002)

    Google Scholar 

  22. Choras, M.: The lip as a biometric. Pattern Anal. Appl. 13(1), 105–112 (2010)

    Article  MathSciNet  Google Scholar 

  23. Reshmi, M.P., Karthick, V.J.: Biometric identification system using lips. Int. J. Sci. Res. (IJSR) 2(4), 304–307 (2013)

    Google Scholar 

  24. Faraj, M., Bigun, J.: Audio-visual person authentication using lip-motion from orientation maps. Pattern Recognit. Lett. 28(11), 1368–1382 (2007)

    Article  Google Scholar 

  25. Cetingul, H.E., Erzin, E., Yemez, Y., Tekalp, A.M.: Multimodal speaker/speech recognition using lip motion, lip texture and audio. Signal Process. 86(12), 3549–3558 (2006)

    Article  MATH  Google Scholar 

  26. Wanga, S.L., Liewb, W.C.: Physiological and behavioral lip biometrics: A comprehensive study of their discriminative power. Pattern Recognit. 45(9), 3328–3335 (2012)

    Article  Google Scholar 

  27. Smacki, L., Porwik, P., Tomaszycki, K., Kwarcinska, S.: Lip print recognition using the Hough transform. J. Med. Inf. Technol. 14, 31–38 (2010)

    Google Scholar 

  28. Smacki, L., Wrobel, K.: Lip print recognition based on mean differences similarity measure. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Computer Recognition Systems 4, vol. 95, pp. 41–49. AISC Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  29. Smacki, L., Wrobel, K., Porwik, P.: Lip print recognition based on the DTW algorithm. In: Proceedings of the Third World Congress on Nature and Biologically Inspired Computing, Salamanca, Spain, pp. 601–606 (2011)

    Google Scholar 

  30. Bhattacharjee, S., Arunkumar, S., Bandyopadhyay, S.K.: Personal identification from lip-print features using a statistical model. Int. J. Comput. Appl. 55(13), 30–34 (2012)

    Google Scholar 

  31. Wrobel, K., Doroz, R., Palys, M.: A method of lip print recognition based on sections comparison. In: International Conference on Biometrics and Kansei Engineering (ICBAKE 2013), Tokyo, Japan, pp. 47–52 (2013)

    Google Scholar 

  32. Smacki, L.: Latent lip print identification using fast normalized cross-correlation. In: International Conference on Biometrics and Kansei Engineering (ICBAKE 2013), Tokyo, Japan, pp. 189–192 (2013)

    Google Scholar 

  33. Ware, C.: Information Visualization: Perception for Design (2004)

    Google Scholar 

  34. Huang, T., Yang, G., Tang, G.: A fast two-dimensional median filtering algorithm. Acoust. Speech Signal Process. 27(1), 13–18 (1979)

    Article  Google Scholar 

  35. Jain, A.: Fundamentals of Digital Image Processing, Chap. 7, p. 235 (1989)

    Google Scholar 

  36. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)

    Article  MathSciNet  Google Scholar 

  37. Shapiro, L., Stockman, G.: Computer Vision (2002)

    Google Scholar 

  38. Pratt, W.K.: Digital Image Processing (1991)

    Google Scholar 

  39. Dougherty, E.: An Introduction to Morphological Image Processing (1992)

    Google Scholar 

  40. Haralick, T.M., Shapiro, L.G.: Computer and Robot Vision, vol. 1 (1992)

    Google Scholar 

  41. Template Matching - OpenCV 2.4.8.0 documentation, http://docs.opencv.org

Download references

Acknowledgments

Lukasz Smacki is a scholarship holder of the DoktoRIS project cofunded by the European Union under the European Social Fund. Jacek Luczak is supported by the Forszt project cofunded by the European Union under the European Social Fund.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lukasz Smacki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Smacki, L., Luczak, J., Wrobel, Z. (2016). Lip Print Pattern Extraction Using Top-Hat Transform. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26227-7_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26225-3

  • Online ISBN: 978-3-319-26227-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics