Dasturiy injiniringi va raqamli iqtisodiyoti

Avtomatik iris holatini aniqlash. Algoritm chap va o'ng irislarning tasvirlarini ajratishga qodir.

Ishonchlilik. VeriEye algoritmi NIST IREX baholashlari davomida mukammal tanib olish aniqligini ko'rsatdi .

Xulosa
Ayni paytda iOS platformasida iris skanerini qo'llab-quvvatlash integratorlar tomonidan amalga oshirilishi kerak. Integratorlar shuni ta'kidlashlari kerakki, eng aniq ìrísí tanib olish faqat ìrísí tasvirlari yaqin infraqizil kameralar va tegishli yoritish bilan olingan taqdirdagina erishish mumkin. Biroq, irislarni smartfon yoki planshetlarda o'rnatilgan, to'g'ri yorug'lik va fokusdan foydalangan holda va to'g'ri muhitni tanlagan kameralar bilan suratga olinganda, hali ham oqilona aniqlik bilan tanib olish mumkin.
Foydalanilgan adabiyotlar
https://www.neurotechnology.com/verieye-system-requirements.html

Amaliy qism:
Code:
#import the libraries
import cv2 as cv
import numpy as np
#read the image
img = cv.imread("D://medium_blogs//red_coat.jpg")
#convert the BGR image to HSV colour space
hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
#obtain the grayscale image of the original image
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#set the bounds for the red hue
lower_red = np.array([160,100,50])
upper_red = np.array([180,255,255])
#create a mask using the bounds set
mask = cv.inRange(hsv, lower_red, upper_red)
#create an inverse of the mask
mask_inv = cv.bitwise_not(mask)
#Filter only the red colour from the original image using the mask(foreground)
res = cv.bitwise_and(img, img, mask=mask)
#Filter the regions containing colours other than red from the grayscale image(background)
background = cv.bitwise_and(gray, gray, mask = mask_inv)
#convert the one channelled grayscale background to a three channelled image
background = np.stack((background,)*3, axis=-1)
#add the foreground and the background
added_img = cv.add(res, background)
#create resizable windows for the images
cv.namedWindow("res", cv.WINDOW_NORMAL)
cv.namedWindow("hsv", cv.WINDOW_NORMAL)
cv.namedWindow("mask", cv.WINDOW_NORMAL)
cv.namedWindow("added", cv.WINDOW_NORMAL)
cv.namedWindow("back", cv.WINDOW_NORMAL)
cv.namedWindow("mask_inv", cv.WINDOW_NORMAL)
cv.namedWindow("gray", cv.WINDOW_NORMAL)
#display the images
cv.imshow("back", background)
cv.imshow("mask_inv", mask_inv)
cv.imshow("added",added_img)
cv.imshow("mask", mask)
cv.imshow("gray", gray)
cv.imshow("hsv", hsv)
cv.imshow("res", res)
if cv.waitKey(0):
cv.destroyAllWindows()