Securing Fingerprint Images Through PSO Based Robust Facial Watermarking

  • Authors:
  • Punam Bedi;Roli Bansal;Priti Sehgal

  • Affiliations:
  • University of Delhi, India;University of Delhi, India;University of Delhi, India

  • Venue:
  • International Journal of Information Security and Privacy
  • Year:
  • 2012

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Abstract

Presented is an efficient watermarking scheme using Particle Swarm Optimization PSO to watermark host fingerprint images with their corresponding facial images in the Discrete Cosine Transform DCT domain. PSO is used to find the best DCT coefficients' locations in the host image where the facial image data can be embedded, so that the distortion produced in the host image is minimum. The objective function for PSO is formulated in terms of the Structural Similarity Index SSIM and the Orientation Certainty Level Index OCL so as to base it on the simple visual effect of the human visual perception capability and correct minutia prediction ability. The results exhibit better watermarked image quality while retaining the feature set of the original fingerprint. Moreover, the proposed technique is robust so that the extraction of watermark is possible even after the watermarked image is exposed to attacks. As a result, at the receiver's end, the watermarked fingerprint image and the extracted facial image can be verified for a secure and accurate biometric based personal authentication.