This paper is focused on the system of image recognition on the basis of color analysis. In healthcare domain, study of human nail color is very important. Many diseases could be identified by analyzing nails of hands. Human eye is having limitation in resolution as well as subjectivity in color analysis. The proposed system is based on the algorithm which automatically extracts only nails' area from scanned back side of palm. These selected pixels are processed for further analysis. The system is computer based, so small discontinuities in color values are also observed, and we can detect color changes in the initial stage of disease. In this way, system is quite useful in prediction of diseases in their initial stages.

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Abstract-Information security has become an important issue, in the field of networking and in the emerging technologies like cloud computing. Cloud computing has become the modern alternative approach of sharing the computational resources around the globe. Though there is a hike in this trend, security of the outsourced data has become the most challenging issue. Thus securing of the data under communication as well as in the storage, is vital. Different approaches have been proposed by several researchers for enhancing the security thorough a combined technique of rich encryption and steganography. Also it has been accepted that Biometric identification is the best way of authenticating the owner of the data. For biometric identification finger prints, iris, palm, face and other personal information's can be used as unique ID's as a proof of authentication. The idea is to secure transformation and to maintenance of data. On the other side, image steganography has been proved to have better features in terms of security, capacity, robustness and integrity than the other types of information hiding techniques. In order to provide the security in the cloud computing it is must to have a clear understanding of the cloud computing, its environment, the architecture, various security concerns, the existing breach holes and an in-depth analysis of image steganography. Thus combining image steangography with biometrics and most advanced cryptographic and compression techniques, a more suitable and robust technique can be modelled for providing a better solution to the said problem.

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