IDEAS home Printed from https://ideas.repec.org/a/igg/jicthd/v9y2017i2p49-57.html
   My bibliography  Save this article

Biometric Image Security Using Chaos Algorithm

Author

Listed:
  • Sugandha Agarwal

    (Amity University, Amity School of Engineering and Technology, Lucknow, India)

  • O.P. Singh

    (Amity University, Amity School of Engineering and Technology, Lucknow, India)

  • Deepak Nagaria

    (Bundelkhand Institute of Engineering and Technology, Electronics and Communication Department, Jhansi, India)

Abstract

In this world of Advanced Technology, the Biometrics are proved to be a significant method for user identification. However, the use of biometric is not new, but these days, with the increase in multimedia applications, it has gained its popularity in analysing human characteristics for security purposes. Biometric Encryption using Chaos Algorithm is a technique used to make it more convenient to the user and to provide high level security. The most prominent physical biometric patterns investigated for security purposes are the fingerprint, hand, eye, face, and voice. In the proposed image encryption scheme, an external secret key of 160-bit is used. The initial conditions for the logistic map are derived using the external secret key. The results obtained through experimental analysis provide an efficient and secure way for real-time image encryption and transmission.

Suggested Citation

  • Sugandha Agarwal & O.P. Singh & Deepak Nagaria, 2017. "Biometric Image Security Using Chaos Algorithm," International Journal of Information Communication Technologies and Human Development (IJICTHD), IGI Global, vol. 9(2), pages 49-57, April.
  • Handle: RePEc:igg:jicthd:v:9:y:2017:i:2:p:49-57
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJICTHD.2017040103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jicthd:v:9:y:2017:i:2:p:49-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.