  The robustness and security of the biometric watermarking approach can be
improved by using a multiple watermarking. This multiple watermarking proposed
for improving security of biometric features and data. When the imposter tries
to create the spoofed biometric feature, the invisible biometric watermark
features can provide appropriate protection to multimedia data. In this paper,
a biometric watermarking technique with multiple biometric watermarks are
proposed in which biometric features of fingerprint, face, iris and signature
is embedded in the image. Before embedding, fingerprint, iris, face and
signature features are extracted using Shen-Castan edge detection and Principal
Component Analysis. These all biometric watermark features are embedded into
various mid band frequency curvelet coefficients of host image. All four
fingerprint features, iris features, facial features and signature features are
the biometric characteristics of the individual and they are used for cross
verification and copyright protection if any manipulation occurs. The proposed
technique is fragile enough; features cannot be extracted from the watermarked
image when an imposter tries to remove watermark features illegally. It can use
for multiple copyright authentication and verification.
