The single watermarking algorithm for medical images faced several inherent problems like lack of security. In
this paper, a new geometrically invariant multiple zero-watermarking method is proposed to secure medical
images. We proposed a novel set of multi-channels shifted Gegenbauer moments of fractional orders (FrMGMs).
These moments are used to extract the geometrically invariant features from the color medical images. Then we
construct a featured image of the original medical image using the magnitude of the selected precise FrMGMs
moments. Finally, we applied a scrambling method to scramble the watermark image and then the exclusive OR
operation to the images’ feature and scrambled watermark to construct a zero-watermark. Experimental results
proved that the proposed approach effectively provided better robustness to various standard attacks and outperformed the existing single-, dual-, & triple-zero-watermarking algorithms for medical images.