# sort the results bounding box coordinates from top to bottom
results = sorted(results, key=lambda r:r[0][1])

# loop over the results
for ((startX, startY, endX, endY), text) in results:
	# display the text OCR'd by Tesseract
	print("OCR TEXT")
	print("========")
	print("{}\n".format(text))

	# strip out non-ASCII text so we can draw the text on the image
	# using OpenCV, then draw the text and a bounding box surrounding
	# the text region of the input image
	text = "".join([c if ord(c) < 128 else "" for c in text]).strip()
	output = orig.copy()
	cv2.rectangle(output, (startX, startY), (endX, endY),
		(0, 0, 255), 2)
	cv2.putText(output, text, (startX, startY - 20),
		cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 0, 255), 3)

	# show the output image
	cv2.imshow("Text Detection", output)
	cv2.waitKey(0)