Get rectangle from a document

Python
1

Hi everyone,
i am working to recognize if i am framing a document, calculating a rectangle plus adding other algorithms that do not concern opencv.
Everything works fine if I am on surfaces with a dark background.
If I am on a surface with a white background or similar, I cannot generate the rectangle correctly.
This is the test image pat.jpg - Google Drive

This is my actual code

frame = cv2.imread('pat.jpg')
    MORPH = 9
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    blur = cv2.GaussianBlur(frame, (5, 5), 0)

    thresh = cv2.Canny(blur, 0, 84)
    #kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (MORPH, MORPH))
    #thresh = cv2.dilate(thresh, kernel, iterations=7)
    cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]
    cnts = sorted(cnts, key=lambda x: cv2.contourArea(x), reverse=True)
     #loop over the contours
    for c in cnts:
       # approximate the contour
       peri = cv2.arcLength(c, True)
       approx = cv2.approxPolyDP(c, 0.02 * peri, True)
       # if our approximated contour has four points, then we
       # can assume that we have found our screen
       if (len(approx) == 4 and cv2.contourArea(approx) >= 1000
       and cv2.isContourConvex(approx)):
           screenCnt = c
           cv2.drawContours(frame, [screenCnt], -1, (0, 255, 0), 2)

    cv2.imshow("Outline", frame)
    cv2.waitKey(0)
    cv2.imshow("Thresh", thresh)
    cv2.waitKey(0)
    cv2.destroyAllWindows()