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@article{146338,
        author = {Navneet Kumar and Dipali Bhatt},
        title = {Automatic Iris Recognition and Tracking of Eye},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {12},
        pages = {267-271},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146338},
        abstract = {For iris recognition first of all database will be created in MATLAB using webcam. Then iris localization is done, for iris identification. After localization normalization and segmentation will performed, for that hough transform algorithm implemented. In last binarization of image is performed. Then binary output is compared with database image’s binary value. From comparison recognition is done, we can identify whether person is authorized or not. Eye tracking is nothing but the process of measuring either the point of gazeor the motion of an eye relative to the head. An eye tracker is a device which is measuring eye positions and eye movement. Eye trackers are used in research on the visual system, in psychology, in psycholinguistics, marketing, as an input device for human-computer interaction, and in product design. There are so many methods for measuring eye movement. The most popular variant uses video images (frames of images) from which the eye position is extracted},
        keywords = {Iris pattern, iris localization, normalization, segmentation, hough transform, Eye tracking},
        month = {},
        }