[Retracted] Iris Localization Algorithm based on Effective Area
Algorithm 1
Pseudo code of reflective noise removal.
Input: The obtained effective iris area, img; The first and last columns of the noise filled area, L_c and R_c; The first and last rows of the noise filled area, U_r and D_r;
Output: The image after reflective noise removal
(1)
import numpy as np
(2)
T1 = np.mean (img) #calculate the average grayscale value of the image
(3)
B_uff = T1
(4)
for j in range (L_c, R_c):
(5)
for i in range (U_r, D_r):
(6)
P_ix = img [i] [j]
(7)
if P_ix > T1: #is the current pixel a valid pixel?
