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receipt_scan.py
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receipt_scan.py
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import os
import cv2
import pyocr
import matplotlib.pyplot as plt
from PIL import Image
import rectangle_detection
# tesseractのパス設定
TESSERACT_PATH = 'C:\\Program Files\\Tesseract-OCR\\' #インストールしたTesseract-OCRのpath
TESSDATA_PATH = 'C:\\Program Files\\Tesseract-OCR\\tessdata' #tessdataのpath
os.environ["PATH"] = os.environ['PATH'] + TESSERACT_PATH
os.environ["TESSDATA_PREFIX"] = TESSDATA_PATH
def imshow(img):
plt.imshow(img)
plt.colorbar()
plt.show()
# 画像から文字をスキャンする
def receipt_scan(img):
"""
Args:
img (PIL.Image): main 関数で読み込んだ画像
Returns:
txt: main 関数に取得した文字列を返す
"""
# OCRエンジンを取得
engines = pyocr.get_available_tools()
engine = engines[0]
# 対応言語取得
#langs = engine.get_available_languages()
# 画像の文字を読み込む
builder = pyocr.builders.TextBuilder(tesseract_layout=6)
txt = engine.image_to_string(img, lang="jpn", builder=builder)
return txt
def main():
# 画像を単枚入力
# 複数の場合はまだ考えない
img_path = "./receipt_img"
#img_path = "./img"
img_name = "IMG_5534.jpg"
save_dir = "./result"
threshold = 128
ksize = 51
# 画像を開く
img = cv2.imread(os.path.join(img_path, img_name))
#img = Image.fromarray(img)
# 画像の矩形検出・回転補正・しわ除去
img = rectangle_detection.process_img(img, threshold, ksize)
#imshow(img)
# 画像から文字を読み込む(receipt_scan 関数)
txt = receipt_scan(img)
#print(txt)
# テキスト出力
f = open(os.path.join(save_dir, 'result_{}.txt').format(os.path.splitext(img_name)[0]), 'w')
f.write(txt)
f.close()
if __name__ == "__main__":
main()