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A Robust Approach for Security and Integrity of Biometric Images Using Wavelet-SVD Operation

EasyChair Preprint no. 8927

5 pagesDate: October 3, 2022


Biometric includes images such as fingerprints, iris scans, palm prints, face scans which have fine features of uniqueness for each individual. As these images are serviceable in many applications such as access control, military, CBI investigation, identification, etc., their security is a major concern. An approach for securing biometric images can be Digital Watermarking. Conventional watermarking may distort the image which causes loss of information. Even a small distortion may leave an individual biometric unrecognizable. So there is a crucial need for a watermarking scheme which does not distort the host image at all. This paper introduces a zero watermarking scheme in which unique identification codes are generated from biometric images by applying Discrete Wavelet Transform (DWT) followed by Singular Value Decomposition (SVD). Experimental results illustrate that unique features extracted are highly stable against multiple image processing attacks and hence promulgate its worth for confidential biometric images.

Keyphrases: BER, Biometric Images, DWT-SVD, Image processing attacks, NC, robust, Zero bit watermarking

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Madhuri Yadav and Ankita Dwivedi and Mohit},
  title = {A Robust Approach for Security and Integrity of Biometric Images Using Wavelet-SVD Operation},
  howpublished = {EasyChair Preprint no. 8927},

  year = {EasyChair, 2022}}
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