def fill_person_info(cls, person_id):
if person_id in cls.standards:
return
signatures = FileAccess.get_files_of_person(person_id)
normalized = [
Normalizer.crop_make_binary_image(signature)
for signature in signatures
]
average_height = round(mean([image.shape[0] for image in normalized]))
average_width = round(mean([image.shape[1] for image in normalized]))
scaled_to_standard_dimensions_signatures =\
[Normalizer.resize(average_width, average_height, img) for img in normalized]
def get_black_pixel_no(pic):
count = 0
for i in range(pic.shape[0]):
for j in range(pic.shape[1]):
if pic[i, j] == 0:
count += 1
return count
number_of_black_pixels = \
[get_black_pixel_no(pic) for pic in scaled_to_standard_dimensions_signatures]
max_no_black_pixels = max(number_of_black_pixels)
min_no_black_pixels = min(number_of_black_pixels)
cls.standards[person_id] = \
SignatureStandard(average_height, average_width, min_no_black_pixels, max_no_black_pixels)
def is_signature_real(cls, signature_image_name: str) -> bool:
person_id = signature_image_name[-7:-4]
standards_specifier = SignatureStandardsSpecifier(person_id=person_id)
standards = standards_specifier.get_standards()
pic = Normalizer.resize(
standards.width, standards.height,
cls.__get_normalized_image(signature_image_name))
number_of_pixels = Detector.__count_black_pixels(pic)
return standards.pixel_low_bound < number_of_pixels < standards.pixel_high_bound