irisSeg 0.3

Daugman implementation to segement iris and pupil

irisSeg

Segementation of iris and pupil.

Daugman algorithm:

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 irisSeg

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) # radius and the coordinates for the center of iris 
print(coord_pupil) # radius and the coordinates for the center of pupil 
plt.imshow(output_image)
plt.show()

use as a commandline tool

>>iris-seg file_path min_radius max_radius

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