A Novel EMD based Watermarking of Fingerprint Biometric Using GEP

AbstractWatermarking with biometrics has been proposed as a line of defense in the protection of IPR and DRM. Robust watermarking of biometric information of the user in the host data may be used for this purpose. Fingerprints are the most popular and non- invasive biometric data used most widely. Here a process of embedding fingerprints data using a novel method of empirical mode decomposition (EMD) and gene expression programming (GEP) together is provided. The watermarking algorithm provided uses singular value decomposition (SVD) and lifting based discrete wavelet transform (DWT). The method provided is secure, robust and imperceptible form of watermarking. This watermarking technique has the advantage of using SVD and lifting based DWT which do not involve convolution thereby being easily implementable on hardware