Created
February 26, 2015 08:32
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Python script to detect credit card on plain background.
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# Basic trickkk | |
import cv2; | |
import numpy as np; | |
def rectify(h): | |
h = h.reshape((4,2)) | |
hnew = np.zeros((4,2),dtype = np.float32) | |
add = h.sum(1) | |
hnew[0] = h[np.argmin(add)] | |
hnew[2] = h[np.argmax(add)] | |
diff = np.diff(h,axis = 1) | |
hnew[1] = h[np.argmin(diff)] | |
hnew[3] = h[np.argmax(diff)] | |
return hnew | |
im = cv2.imread('./cc.jpg') | |
gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) | |
blur = cv2.GaussianBlur(gray,(1,1),1000) | |
flag, thresh = cv2.threshold(blur, 120, 255, cv2.THRESH_BINARY) | |
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE) | |
contours = sorted(contours, key=cv2.contourArea,reverse=True)[:2] | |
card = contours[1] | |
peri = cv2.arcLength(card,True) | |
approx = cv2.approxPolyDP(card,0.02*peri,True) | |
rect = cv2.minAreaRect(contours[1]) | |
r = cv2.cv.BoxPoints(rect) | |
a = rectify(approx) | |
h = np.array([ [0,0],[244,0],[244,154],[0,154] ],np.float32) | |
transform = cv2.getPerspectiveTransform(a,h) | |
warp = cv2.warpPerspective(blur,transform,(244,154)) | |
cv2.imwrite('python2.jpg', warp); |
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