The Usage of Vein and Iris Along with Visual Steganography for Efficient User Authentication

Authors

  • P. Anitha
  • M. Grace

DOI:

https://doi.org/10.29027/IJIRASE.v2.i3.2018.285-291

Keywords:

Multimodal approach, Visual Steganography, Finger vein, Iris, AES

Abstract

Lately biometric based recognizable pieces of proof are broadly received for individual distinguishing proof. Uni-modular biometric frameworks utilize just a single biometric quality, for example, unique mark, finger vein, voice, confront, ear, iris, retina and so forth., which has a few impediments because of clamor, parody assaults and so forth., These downsides can be overwhelmed by setting up multi-modular biometric frameworks comprising of at least two biometric modalities in a solitary recognizable proof framework to enhance the acknowledgment precision. In this paper, a multimodal approach has been proposed by coordinating the finger vein and iris to improve the individual acknowledgment framework. Saving the protection of put away biometric formats in a brought together database is of more vital at present. Visual Steganography gives an intense strategy by which one mystery can be circulated in at least two offers. At the point when the offers on transparencies are superimposed precisely together, the first mystery can be found without PC cooperation. In the enlistment methodology, the mystery key (Aadhaar number) is encoded by utilizing AES calculation and by utilizing the visual steganographicsystem; the encrypted secret key is shared between the two images. The share1 is kept as the users' ID card and the share2 is stored in the database. In the verification procedure, new finger vein and iris images are obtained and verified with the images stored in the database. It is computationally hard to obtain the biometric image from any individual stored sheets. This paper explores the possibility of using visual steganography for efficient biometric security in the multimodal approach.



Author Biographies

P. Anitha

Department of Computer Science, Soka Ikeda College of Arts & Science for Women, Chennai-99, India

M. Grace

Department of Computer Science, Soka Ikeda College of Arts & Science for Women, Chennai-99, India

Additional Files

Published

15-09-2018