Can't get ORB algorithm to match my images

Question

I've tried to use ORB algorithm on these images. The code works but i can't get enough keypoints to match the images. How can i make it work?

import cv2
import numpy as np

img1 = cv2.imread('cards4/eightofspades100.png', 0)
img2 = cv2.imread('cards4/deck 4.png', 0)

cv2.imshow('img1',img1)
orb = cv2.ORB_create()

kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)

#des1 and des2 are arrays of 500 features and 32 values

imgKp1 = cv2.drawKeypoints(img1, kp1, None)
imgKp2 = cv2.drawKeypoints(img2, kp2, None)

bf = cv2.BFMatcher()
matches = bf.knnMatch(des1, des2, k=2)

good = []

# m and n because k = 2 and k is the number of features
for m,n in matches:
    if m.distance <1*n.distance:
        good.append([m])

img3 = cv2.drawMatchesKnn(img1, kp1, img2, kp2, good, None, flags = 2)


cv2.imshow('Kp1', imgKp1)
cv2.imshow('Kp2', imgKp2)
#cv2.imshow('img1', img1)
#cv2.imshow('img2', img2)
#cv2.imshow('img3', img3)
cv2.waitKey(0)

eight of spades

deck of card