[Python] Crop from image using OpenCV without including green - OpenCV & Python

Recently began developing a basic ANPR application using OpenCV and PyTesseract. The overall contouring and cropping seems to work but there is a glaring problem in that i'm unable to figure out how to remove the green from the image.

The following code is what i'm currently using:

image = f'home/folder/car.jpg'
image = cv2.imread(image)

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) #frame filtered again
canny = cv2.Canny(gray, 100, 200)

contours, _ = cv2.findContours(canny, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(image, contours, -1, (0, 255, 0), 3)

for contour in contours:
approx = cv2.approxPolyDP(contour, 0.02 * cv2.arcLength(contour, True), True)

if len(approx) == 4:
x, y, w, h = cv2.boundingRect(approx)

aspectratio = w / float(h) #aspect ratio
area = w * h

if 2 < aspectratio < 5 and area > 2000:
cropped = image[y:y+h, x:x+w]
cv2.imwrite('contour.png', cropped)


car.jpg. No filters:



car.jpg. Contoured:



car.jpg. Contoured and Cropped:



I'm fairly new to openCV and Python and i'm not exactly a professional programmer so if there's any minor improvements alongside the solution, feel free to add.

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