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With the discovery of paperless expensive means of internet access, network communication via social media is on the rise, which often comprises threats and distortions. Un authenticates identification may sometimes lead to ambiguities in end-user identification and misunderstandings. Therefore, proper identification of a person is a must in network communication. Image private watermarking[7][9][19] is one solution when the owner of the digital images are identified properly by embedding additional information such as a private watermark in the digital images like fingerprint and retina imperceptibly concealed inside another image. On the other hand, communication also leads to a serious surge in decompress technique on the images. This work introduces three techniques: digital watermarking, steganography, ICA[4][5][6][20][22]. Using a private watermark using the visible [9][7] and non-blind[9][19][7] technique on the photo image. Then two original fingerprints and retina images to achieve stego analysis technique to convert as a stego image. Then the stego image concealed by a watermarked photo image. Then mixing the two techniques to achieve the ICA[20][22][4][5][6] (Independent Component Analysis) for protecting data transmission. To providing compression using the IDCT (Inverse Discrete Cosine Transform) technique with the key using AES[10][9][19] (Advanced Encryption Standard) 64-bit algorithm. Implementation and to determine the utilize the JAVA platform.

Secured ICA Technique on Bimodal Biometric Images Using Private Watermarking with DCT