Abstract
In this research paper, a new blind and robust fingerprint image watermarking scheme based on a combination of dual-tree complex wavelet transform (DTCWT) and discrete cosine transform (DCT) domains is demonstrated. The major concern is to afford a solution in reducing the consequence of geometric attacks. It is due to the fingerprint features that may be impacted by the incorporated watermark, fingerprint rotations, and displacements that result in multiple feature sets. To integrate the bits of the watermark sequence into a differential process, two DCT-transformed sub-vectors are implemented. The initial sub-vectors were obtained by sub-sampling in the host fingerprint image of both real and imaginary parts of the DTCWT wavelet coefficients. The basic difference between the relevant sub-vectors of the watermarked fingerprint image in the extraction stage directly provides the inserted watermark sequence. It is not necessary to extract watermark data from an original fingerprint image. Therefore, the technique suggested is evaluated using 80 fingerprint images from 10 persons, from both CASIA-V5-DB and FVC2002-DB2 fingerprint database. For each person, eight fingerprints are set as the template and the watermark are inserted in each image. A comparison between the obtained results with other geometric robust techniques results is performed afterwards. The comparison results show that the proposed technique has stronger robustness against common image processing processes and geometric attacks such as cropping, resizing, and rotation.
Highlights
A fingerprint is demonstrated on the surface of a fingertip by the interpretation of the ridge and valley pattern
The hybrid domain dual-tree complex wavelet transform (DTCWT)-discrete cosine transform (DCT) with the differential extracting method is used to extract watermark embedded into the watermarked fingerprint image, that might be attacked by common image processing and geometric attacks; the extracted watermark is compared with its corresponding original watermark which does not need the original fingerprint image based on new proposed algorithm
Several experiments have been conducted on the proposed method (DTCWT-DCT) for the purpose of evaluating its performance as compared to the other approaches that will be explained with detail in the section of discussion
Summary
A fingerprint is demonstrated on the surface of a fingertip by the interpretation of the ridge and valley pattern. Two DCT-transformed sub-vectors are implemented, obtained by sub-sampling in the host fingerprint image of both real and imaginary parts of the DTCWT LL sub-band wavelet coefficients. These features are combined between unique ridges and minutia points for the purpose of improving the security of biometric data, whilst the proposed method by Ramani et al [10] concentrated on the copyright protection of digital images It was based on the differential method to choose the best place of the embedded watermark without affecting minutia points within the cover fingerprint image. The choice of the embedding of the coefficient sub-bands in the proposed DCT-DTCWT algorithm is far more adjustable than those used in the study of Benoraira et al [12] (the used frequency domain is not the same) because of the proprieties of the used transform domain. The main steps of the proposed watermark embedding procedure can be described as follows: Original Fingerprint
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