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@article{155519,
        author = {N. Srinivasa Gupta and Ganesh Varma and Ramya and Manasa and Tarun},
        title = {Effective Face detection over random motion, blur and pose},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1096-1100},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155519},
        abstract = {Face identification is the   process of identifying one or more people in images. Algorithms for face identification typically extract facial features and compare them to a database to find the best match. Face identification is an important part of many biometric, security, and surveillance systems. The existing methods for face identifying methods cannot deal with non-uniform poses and illumination, blur conditions which are arising from tilts and rotations. So a method is proposed for face identification across blur and different variations in poses and illumination. Pictures of valid users is stored in training data set. So, the variations of poses, illumination, blur will be authenticated if the user is valid. The process is done by algorithms like local binary pattern, viola Jones, Support Vector Machine. Thus the valid user will be found out.},
        keywords = {Face identification, LBP, SVM},
        month = {},
        }