def extractFeature(im_filename, eyelashes_thres=80, use_multiprocess=True):
"""
Description:
Extract features from an iris image
Input:
im_filename - The input iris image
use_multiprocess - Use multiprocess to run
Output:
template - The extracted template
mask - The extracted mask
im_filename - The input iris image
"""
# Perform segmentation
# path = 'C:\\Users\\luvku\\CS 2019\\SIH\\sih2020\\sih\\test\\Iris-Recognition\\CASIA1\\1\\' + im_filename
# print('path = ',path)
im = cv2.imread(im_filename, 0)
ciriris, cirpupil, imwithnoise = segment(im, eyelashes_thres,
use_multiprocess)
# Perform normalization
polar_array, noise_array = normalize(imwithnoise, ciriris[1], ciriris[0],
ciriris[2], cirpupil[1], cirpupil[0],
cirpupil[2], radial_res, angular_res)
# Perform feature encoding
template, mask = encode(polar_array, noise_array, minWaveLength, mult,
sigmaOnf)
# Return
return template, mask, im_filename
def extractFeature(im_filename, eyelashes_thres=80, use_multiprocess=True):
"""
Description:
Extract features from an iris image
Input:
im_filename - The input iris image
use_multiprocess - Use multiprocess to run
Output:
template - The extracted template
mask - The extracted mask
im_filename - The input iris image
"""
# Perform segmentation
im = imread(im_filename, 0)
ciriris, cirpupil, imwithnoise = segment(im, eyelashes_thres,
use_multiprocess)
# Perform normalization
polar_array, noise_array = normalize(imwithnoise, ciriris[1], ciriris[0],
ciriris[2], cirpupil[1], cirpupil[0],
cirpupil[2], radial_res, angular_res)
# Perform feature encoding
template, mask = encode(polar_array, noise_array, minWaveLength, mult,
sigmaOnf)
# Return
return template, mask, im_filename
def extractFeature(file):
im = imread(im_filename)
ciriris, cirpupil, imwithnoise = segment(im, eyelashes_thres, use_multiprocess)
polar_array, noise_array = normalize(imwithnoise, ciriris[1], ciriris[0], ciriris[2],
cirpupil[1], cirpupil[0], cirpupil[2],
radial_res, angular_res)
template, mask = encode(polar_array, noise_array, minWaveLength, mult, sigmaOnf)
def extractFeature(im_filename):
"""
Description:
Extract features from an iris image
Input:
im_filename - The input iris image
Output:
template - The extracted template
mask - The extracted mask
im_filename - The input iris image
"""
# Normalisation parameters
radial_res = 20
angular_res = 240
# Feature encoding parameters
minWaveLength = 18
mult = 1
sigmaOnf = 0.5
# Perform segmentation
im = imread(im_filename, 0)
ciriris, cirpupil, imwithnoise = segment(im)
# Perform normalization
polar_array, noise_array = normalize(imwithnoise, ciriris[1], ciriris[0],
ciriris[2], cirpupil[1], cirpupil[0],
cirpupil[2], radial_res, angular_res)
# Perform feature encoding
template, mask = encode(polar_array, noise_array, minWaveLength, mult,
sigmaOnf)
# Return
return template, mask, im_filename