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@article{148480,
        author = {Sunny Jha and RAJNIKANTH},
        title = {ONLINE VOTING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {2},
        pages = {182-184},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148480},
        abstract = {In online voting system people can cast their vote through the internet. In order to prevent voter frauds we use two levels of security. A user id and password are used as the first level of security. The data entered by the user is verified with the contents of the database, if the data is correct then the face of the voter is captured by a web camera and sent to the database. The web page is designed using ASP.NET .The ASP page is then connected to the Microsoft sql sever database. The ASP page is served from an IIS server. In the second level of security the face of the person is verified with the face present in the database and validated using matlab. The comparison of the two faces is done using Eigen face recognition algorithm. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called ‘eigenfaces’, which are actually the principal components of the initial training set of face images. Recognition is performed by projecting a new image into the subspace spanned by the eigenfaces (‘face space’) and then classifying the face by comparing its position in the face space with the positions of the known individuals.},
        keywords = {},
        month = {},
        }