Skip to main content

Brief Announcement: Image Authentication Using Hyperspectral Layers

  • Conference paper
  • First Online:
  • 1018 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10879))

Abstract

Access control systems using face recognition, are widely implemented. This technic lacks the ability to bypass it. To avoid it, an authentication process is required. In this paper we propose a new security image-signature, which authenticates the given image. The proposed signature is generated from the corresponding hyperspectral image layers. The process extracts unique patterns from the hyperspectral layers, these are collected to build a unique biometric signature for the related person. Experiments show the potential of enhancing image authentication using the proposed signature.

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   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

Learn about institutional subscriptions

References

  1. Zhihong, P., Healey, G., Prasad, M., Tromberg, B.: Face recognition in hyperspectral images. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1552–1560 (2003). https://doi.org/10.1109/tpami.2003.1251148

    Article  Google Scholar 

  2. Denes, L., Metes, P., Liu, Y.: Hyperspectral face database. Technical report CMU-RI-TR-02-25, Robot. Institute Carnegie Mellon University, Pittsburgh, PA (2002)

    Google Scholar 

  3. Chang, H., Harishwaran, H., Yi, M., Koschan, A., Abidi, B., Abidi, M.: An indoor and outdoor, multimodal, multispectral and multi-illuminant database for face recognition. Paper presented at the 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2006), New York, 17–22 June 2006

    Google Scholar 

  4. Cho, W., Jang, J., Koschan, A., Abidi, M.A., Paik, J.: Hyperspectral face recognition using improved inter-channel alignment based on qualitative prediction models. Opt. Expr. 24(24), 27637–27662 (2016)

    Article  Google Scholar 

  5. Ghasemzadeh, A., Demirel, H.: Hyperspectral face recognition using 3D discrete wavelet transform. Paper presented at the 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), Finland, 12–15 December 2016

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Guy Leshem or Menachem Domb .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Leshem, G., Domb, M. (2018). Brief Announcement: Image Authentication Using Hyperspectral Layers. In: Dinur, I., Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2018. Lecture Notes in Computer Science(), vol 10879. Springer, Cham. https://doi.org/10.1007/978-3-319-94147-9_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94147-9_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94146-2

  • Online ISBN: 978-3-319-94147-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics