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@article{146479,
        author = {Sk.Sharmila and Lakshma Nayak.M},
        title = {A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {12},
        pages = {736-740},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146479},
        abstract = {Accessible techniques for playing face acknowledgment inside the sight of obscure depend upon the convolution demonstrate and cannot subsume non-uniform obscuring circumstances that as usually as doable emerge from tilts and turns accessible control cameras. to start out with proposing a non-uniform obscure vigorous calculation by creating utilization of the supposition of Associate in Nursing inadequate camera direction within the camera movement area to assemble a vitality work with imperative on the camera movement. We tend to propose a non-uniform blur-robust formula by creating utilization of the presumption of Associate in nursing inadequate camera direction within the camera movement area to construct a vitality work with l1-standard and l2 standards. The system is then reached bent subsume enlightenment varieties by misusing the manner that the arrangement of all photos got from a face image by non-uniform obscuring and ever-changing the brightening frames a bi-curved set. At long last, we tend to propose a chic augmentation to likewise represent varieties in posture.},
        keywords = {Face recognition, non-uniform blur, pixel by pixel calculation, matching.},
        month = {},
        }