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        "description": "# irisSeg\n\n\nSegementation of iris and pupil.\n\n## Daugman algorithm:\n\n![image](irisSeg/Data/DaughmanOperation.jpg)\n\n`where I(x,y) is the eye image, r is the radius to searches over the image (x,y), G(r) is a Gaussian smoothing function.\nThe algorithm starts to search from the pupil, in order to detect the changing of maximum pixel values\n(partial derivative).`\n\n# Installation\n    pip install irisSeq\n\n# Usage\n\n    from irisSeg import irisSeg\n    import matplotlib.pyplot as plt\n    #\n    # you can also view using the argument in irisSeq function\n    #\n    coord_iris, coord_pupil, output_image = irisSeg('UBIRIS_200_150_R/Sessao_1/1/Img_1_1_1.jpg', 40, 70)\n    print(coord_iris)\n    print(coord_pupil)\n    plt.imshow(output_image)\n    plt.show()\n\n![image](irisSeg/Data/sample_img.jpg)\n\n![image](irisSeg/Data/segemented_img.png)\n\n# References\n\n1. `https://www.diva-portal.org/smash/get/diva2:831173/FULLTEXT01.pdf`\n2. `https://uk.mathworks.com/matlabcentral/fileexchange/15652-iris-segmentation-using-daugman-s-integrodifferential-operator`\n\n",
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        "keywords": "Daugman Daugman's integrodifferential operator iris pupil segementation computer vision",
        "license": "MIT",
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        "name": "irisSeg",
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        "summary": "Daugman implementation to segement iris and pupil",
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