toleranceX = int(5 / 100 * boxWidth)
toleranceY = int(5 / 100 * boxHeight)
startX -= toleranceX
startY -= toleranceY
endX += toleranceX
endY += toleranceY
# draw the bounding box on the image
# cv2.rectangle(orig, (startX, startY), (endX, endY), (0, 255, 0), 2)
# get portion of image containing text
crop = orig[startY:endY, startX:endX]
# image pre-processing
crop = OCR.preProcess(crop)
# get text from ocr
txt = (OCR.getText(crop))
boxes.append(((startX, startY, endX, endY), txt))
# simple block alignment algorithm
# by finding ignorable difference between starting pixels
# of each ROI
def alignText(boxes, pixel, drawer):
newBoxes = dict()
for coord, txt in boxes:
isPresent = False
startY = coord[1]
for i in range(startY - pixel, startY + pixel + 1):
