The project proposes the enhancement of protection system for secret data communication through encrypted data concealment in bio-metrics. The main theme of the proposed system is to maintain the multiple documents for a single patient such as digital scan image, personal details, and diagnosis results in a single file.The proposed technique has three different input data of a single person like fingerprint, diagnosis result, and scan image. Here the fingerprint is used for person

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... purposes by using Minutiae information Extraction from fingerprint. Then the patient scan image is separated into two different components (detailed and approximation component). The diagnosis result was encrypted using logistic mapping method. The encrypted result was hidden in the detailed component of the image using ALSB. The data hiding technique uses the ALSB replacement algorithm for concealing the diagnosis results into the detailed coefficients. In the data extraction module, the diagnosis data will be extracted by using relevant key for choosing the relevant data to extract the data. By using the decryption keys, extracted text data will be decrypted from encryption to get the original information. The minutiae information from fingerprint is also embedded in the structural component of image using Singular Value Decomposition method. In the Extraction part the medical image and diagnosis results are extracted after the fingerprint recognition process. If the fingerprint features are mismatched the user can't access the patient details. Finally the performance of this proposal in encryption and data hiding will be analyzed based on image and data recovery. The parameters like PSNR (Peak Signal to Noise Ratio), RMSE (Root Mean Square Error), PRD (Percentage Residual Difference), Correlation and SSIM (Structural Similarity Index Measure) are measured.