def get_resized_image_text(filename):
''' Get text from image using different sizes '''
img = cv.imread(filename, 0)
img_large = optimizer.enlarge_image(img)
img_small = optimizer.reduce_image(img)
return [
parser.clean_text(tesseract.image_to_string(img))
for img in [img_large, img_small]
]
def get_threshold_image_text(filename, resize_type):
''' Get text from image using different types of threshold '''
img = cv.imread(filename, 0)
if resize_type == ResizeTypes.ENLARGE:
img = optimizer.enlarge_image(img)
elif resize_type == ResizeTypes.REDUCE:
img = optimizer.reduce_image(img)
images = optimizer.get_image_thresholds(img)
return [
parser.clean_text(tesseract.image_to_string(img)) for img in images
]
def get_image_text(filename):
''' Get text from image using tesseract '''
img = cv.imread(filename, 0)
return parser.clean_text(tesseract.image_to_string(img))
def get_reduced_image_text(filename):
''' Get text from image with half size '''
img = cv.imread(filename, 0)
img_small = optimizer.enlarge_image(img)
return parser.clean_text(tesseract.image_to_string(img_small))
def get_enlarged_image_text(filename):
''' Get text from image with double size '''
img = cv.imread(filename, 0)
img_large = optimizer.enlarge_image(img)
return parser.clean_text(tesseract.image_to_string(img_large))