Skip to main content
SpringerLink
Log in

Thermal Vein Signatures, DNA and EEG Brainprint in Biometric User Authentication

  • Conference paper
  • First Online:
Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 915))

Included in the following conference series:

Abstract

In this paper we present a survey of three recent developments in biometric user authentication based on physical human characteristics that are less prone to natural or intentional changes than other currently used techniques: thermal vein signatures, DNA and EEG brainprint obtained by stimulating the brain with cognitive events. This paper argues that biometric user authentication using these three human characteristics is already an everyday a reality or is going to be very soon.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

References

  1. Dasgupta, D.: Biometrics and its use: viewpoint. Biostat. Biom. Open Acc. J. 7(3) (2018). https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555714.pdf

  2. Ricanek, K.: Beyond recognition: the promise of biometric analytics. IEEE Comput. Mag. 47, 87–89 (2014). http://lifesciences.embs.org/wp-content/uploads/sites/53/2014/10/06898735.pdf

    Article  Google Scholar 

  3. Williams, M.: One in every 14 Americans fell victim to identity theft last year, 27 September 2015. https://www.pcworld.com/article/2986810/security/identity-theft-hit-7-of-us-population-last-year.html

  4. BioCatch: Behavioral Biometrics: A Primer on the Future of Cybersecurity, 2 March 2018. https://www.biocatch.com/blog/behavioral-biometrics-primer-future-cybersecurity

  5. Tan, S.C., Yiap, B.C.: DNA, RNA, and protein extraction: the past and the present. J. Biomed. Biotechnol. 2009, 1–10 (2009)

    Article  Google Scholar 

  6. Dasgupta, D., Nag, A.K., Shrein, J., Swindle, M., Rahman, I.: Adaptive Multifactor Authentication (A-MFA) System, Center for Information Assurance (CfIA). The university of Memphis (2017)

    Google Scholar 

  7. Dasgupta, D., Roy, A., Nag, A.: Advances in User Authentication. ISFS. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58808-7

    Book  Google Scholar 

  8. Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)

    Article  Google Scholar 

  9. De Luca, A., Hang, A., Von Zezschwitz, E., Hussmann, H.: I feel like I’m taking selfies all day!: towards understanding biometric authentication on smartphones. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, pp. 1411–1414. ACM, New York (2015)

    Google Scholar 

  10. Bhagavatula, C., Ur, B., Iacovino, K., Kywe, S.M., Cranor, L.F., Savvides, M.: Biometric authentication on iphone and android: usability, perceptions, and influences on adoption. In: Proceedings of USEC, pp. 1–2 (2015)

    Google Scholar 

  11. Wei, Y., Yildirim, P., Van den Bulte, C., Dellarocas, C.: Credit scoring with social network data. Mark. Sci. 35(2), 234–258 (2016). https://pdfs.semanticscholar.org/35fe/6cb2a49aca15341f4af6224f7411269af601.pdf. Accessed 19 Jul 2018

    Article  Google Scholar 

  12. Vrankulj, A.: Coursera looks to verify online student identity with photo, keystroke dynamic. Biometricupdate, 16 January 2013. https://www.biometricupdate.com/201301/coursera-looks-to-verify-online-student-identity-with-photo-keystroke-dynamics

  13. Dehaye, P.O.: Coursera and keystroke biometrics. Medium, 12 February 2016. https://medium.com/personaldata-io/coursera-and-keystroke-biometrics-550762f2f61b

  14. Gemalto: The electronic passport in 2018 and beyond. 25 June 2018. https://www.gemalto.com/govt/travel/electronic-passport-trends. Accessed 19 July 2018

  15. Daugman, J.G.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14, 21–30 (2004)

    Article  Google Scholar 

  16. Daugman, J.G.: Iris recognition at airports and border-crossings. In: Li, Z. (ed.) Encyclopedia of Biometrics. Springer, Heidelberg (2009). https://doi.org/10.1007/978-0-387-73003-5_24. Chapter 62

    Chapter  Google Scholar 

  17. Mason, M.: Biometric Breakthrough How CBP is Meeting its Mandate and Keeping America Safe. U.S. Customs and Border Protection (2018). https://www.cbp.gov/frontline/cbp-biometric-testing

  18. Wolf, P.: Introducing Biometric Technology in Elections. International IDEA Institute for Democracy and Electoral Assistance (2017). https://www.idea.int/sites/default/files/publications/introducing-biometric-technology-in-elections.pdf

  19. Martins, A.: The Colombian Identification System. Keesing Journal of Documents and Identity, Annual Report: Identity Management 2012–2013

    Google Scholar 

  20. Businesswire: Colombia Selects IDEMIA to Upgrade Its Identification and Civil Registry Platform, 16 October 2017. https://www.businesswire.com/news/home/20171016005787/en/Colombia-Selects-IDEMIA-Upgrade-Identification-Civil-Registry

  21. Das, R.: Biometrics in the cloud. Keesing Journal of Documents and Identity, pp. 21–23, February 2013

    Google Scholar 

  22. Talreja, V., Ferrett, T., Valenti, M.C., Ross, A.: Biometrics-as-a-Service: A Framework to Promote Innovative Biometric Recognition in the Cloud (2017) https://arxiv.org/pdf/1710.09183.pdf

  23. Rose, J.: Biometrics as a service: the next giant leap? Biom. Technol. Today 2016(3), 7–9 (2016)

    Article  Google Scholar 

  24. Kleinman, Z.: Politician’s fingerprint ‘cloned from photos’ by hacker. BBC News, 29 December 2014. https://www.bbc.com/news/technology-30623611

  25. Cabrera, C., Guillen, M.R., Adjouadi, M.: Integrating palmprint and voice biometric for identity identification. In: 8th Latin American and Caribbean Conference (LACCEI 2010) (2010)

    Google Scholar 

  26. Cabrera, C., Guillen, M.R., Adjouadi, M.: Infrared thermal hand vein pattern recognition. In: 9th Latin American and Caribbean Conference (LACCEI 2011) (2011)

    Google Scholar 

  27. Czajka, A., Bulwan, P.: Biometric verification based on hand thermal images. In: 2013 International Conference on Biometrics (ICB). IEEE (2013)

    Google Scholar 

  28. Guzman, A.M.: Thermal imaging as a biometrics approach to facial signature authentication. IEEE J. Biomed. Health Inform. 17(1), 214–222 (2013)

    Article  Google Scholar 

  29. Hart, P.E.: How the hough transform was invented. IEEE Signal Process. Mag. 26(6), 18–22 (2009)

    Article  Google Scholar 

  30. Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. Comm. ACM 15, 11–15 (1972)

    Article  Google Scholar 

  31. Hough, P.V.C.: Method and means for recognizing complex patterns. U.S. Patent 3,069,654, 18 December 1962

    Google Scholar 

  32. Peaston, S.: The changing nature of identity: is biometrics the way forward? Cifas, 24 May 2017. https://www.cifas.org.uk/insight/fraud-risk-focus-blog/changing-nature-identity-biometrics-way-forward

  33. Van Heerden, I.: 4 Ways to Turn Your Cell Phone into a Thermal Camera: FLIR vs Seek vs Therm-App vs CAT. TectoGizmo (2017). https://tectogizmo.com/4-ways-to-turn-your-cell-phone-into-a-thermal-camera/

  34. Lankton, S., Tannenbaum, A.: Localizing region-based active contours. IEEE Trans. Image Process. 17(11), 2029–2039 (2008)

    Article  MathSciNet  Google Scholar 

  35. FBI: Rapid DNA General Information. https://www.fbi.gov/services/laboratory/biometric-analysis/codis/rapid-dna

  36. NIST: DNA Biometrics, 13 July 2017. https://www.nist.gov/programs-projects/dna-biometrics

  37. Caughill, P.: Using DNA, New Software Can Verify Identity in Minutes. Futurim, 1 December 2017. https://futurism.com/software-verify-id-dna/

  38. Zaaijer, S., Gordon, A., Speyer, D., Piccone, R., Groen, S.C., Erlich, Y.: Rapid re-identification of human samples using portable DNA sequencing. eLife 6, e27798 (2017). https://doi.org/10.7554/eLife.27798. https://elifesciences.org/articles/27798

    Article  Google Scholar 

  39. Benjamin, R.: NASA study reveals 7% percent of DNA has changed to an astronaut after spending a year-long in the space shuttle. US and World News from MLIVE.com, 12 March 2018

    Google Scholar 

  40. Moore, S.K.: “Brainprint" biometric ID hits 100% accuracy. IEEE Spectrum 53, 14 (2016). https://spectrum.ieee.org/biomedical/devices/brainprint-biometric-id-hits-100-accuracy

    Article  Google Scholar 

  41. Orpanidhes, K.G.: Your ‘brainprint’ can identify you with 100% accuracy. Wired, Tuesday 19 April 2016. https://www.wired.co.uk/article/eeg-brainprint-biometric-identification

  42. Ruiz-Blondet, M.V., Jin, Z., Laszlo, S.: CEREBRE: a novel method for very high accuracy event-related potential biometric identification. IEEE Trans. Inf. Forensics Secur. 11(7), 1618–1629 (2016)

    Article  Google Scholar 

  43. Armstrong, B.C., Ruiz-Blondetb, M.V., Laszlobe, S., Khalifia, N., Kurtz, K.J., Jin, Z.: Brainprint: assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing 166(20), 59–67 (2015). https://doi.org/10.1016/j.neucom.2015.04.025

    Article  Google Scholar 

  44. Maskeliunas, R., Damasevicius, R., Martisius, R., Vasiljevas, M.: Consumer-grade EEG devices are they usable for control tasks? PeerJ 4, e1746 (2016). https://doi.org/10.7717/peerj.1746

    Article  Google Scholar 

  45. Grush, L.: Those ‘mind-reading’ EEG headsets definitely can’t read your thoughts. The Verge, 12 January 2016. https://www.theverge.com/2016/1/12/10754436/commercial-eeg-headsets-video-games-mind-control-technology

  46. Kataria, A.N., Adhyaru, D.M., Sharma, A.K., Zaveri, T.H.: A survey of automated biometric authentication techniques. In: Nirma University International Conference on Engineering (NUiCONE) (2013)

    Google Scholar 

  47. Ibrahim, D.R., Tamimi, A.A., Abdalla, A.M.: Performance analysis of biometric recognition modalities. In: IEEE 8th International Conference on Information Technology (ICIT) (2017)

    Google Scholar 

  48. Moren, D.: 7 Surprising Biometric Identification Methods. Popular Science, 30 December 2014. https://www.popsci.com/seven-surprising-biometric-identification-methods

  49. Shachtman, O., Beckhusen, R.: 11 Body Parts Defense Researchers Will Use To Track You. Wired, 25 January 2013. https://www.wired.com/2013/01/biometrics/

Download references

Author information

Authors and Affiliations

  1. School of Engineering + Technology, Miami Dade College-Kendall and School of Computing and Information, Florida International University and GattaKX Inc., Miami, FL, USA

    Carlos Cabrera

  2. Departamento de Ingeniería de Sistemas e Industrial, Universidad Nacional de Colombia, Bogotá, Colombia

    German Hernández & Luis Fernando Niño

  3. Department of Computer Science, The University of Memphis, Memphis, TN, USA

    Dipankar Dasgupta

Authors
  1. Carlos Cabrera
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. German Hernández
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luis Fernando Niño
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dipankar Dasgupta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to German Hernández .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Industrial Engineering Department, Univ. Distrital Francisco José de Caldas, Bogotá, Colombia

    Eduyn Ramiro López-Santana

  3. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    José Ignacio Rodriguez-Molano

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cabrera, C., Hernández, G., Niño, L.F., Dasgupta, D. (2018). Thermal Vein Signatures, DNA and EEG Brainprint in Biometric User Authentication. In: Figueroa-García, J., López-Santana, E., Rodriguez-Molano, J. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-00350-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00350-0_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00349-4

  • Online ISBN: 978-3-030-00350-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation