Metadata-Version: 2.1
Name: irisSeg
Version: 0.2
Summary: Daugman implementation to segement iris and pupil
Home-page: http://github.com/mzmmoazam/
Author: mzm
Author-email: mzm.moazam@gmail.com
License: MIT
Description: # irisSeg
        
        
        Segementation of iris and pupil.
        
        ## Daugman algorithm:
        
        ![image](irisSeg/Data/DaughmanOperation.jpg)
        
        `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.
        The algorithm starts to search from the pupil, in order to detect the changing of maximum pixel values
        (partial derivative).`
        
        # Installation
            pip install irisSeq
        
        # Usage
        
            from irisSeg import irisSeg
            import matplotlib.pyplot as plt
            #
            # you can also view using the argument in irisSeq function
            #
            coord_iris, coord_pupil, output_image = irisSeg('UBIRIS_200_150_R/Sessao_1/1/Img_1_1_1.jpg', 40, 70)
            print(coord_iris)
            print(coord_pupil)
            plt.imshow(output_image)
            plt.show()
        
        ![image](irisSeg/Data/sample_img.jpg)
        
        ![image](irisSeg/Data/segemented_img.png)
        
        # References
        
        1. `https://www.diva-portal.org/smash/get/diva2:831173/FULLTEXT01.pdf`
        2. `https://uk.mathworks.com/matlabcentral/fileexchange/15652-iris-segmentation-using-daugman-s-integrodifferential-operator`
Keywords: Daugman Daugman's integrodifferential operator iris pupil segementation computer vision
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
