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ocr.py

+import cv2
+import numpy as np
+import pytesseract
+
+
+# get grayscale image
+def get_grayscale(image):
+    return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+
+# noise removal
+def remove_noise(image):
+    return cv2.medianBlur(image, 5)
+
+
+# thresholding
+def thresholding(image):
+    return cv2.threshold(image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
+
+
+# dilation
+def dilate(image):
+    kernel = np.ones((5, 5), np.uint8)
+    return cv2.dilate(image, kernel, iterations=1)
+
+
+# erosion
+def erode(image):
+    kernel = np.ones((5, 5), np.uint8)
+    return cv2.erode(image, kernel, iterations=1)
+
+
+# opening - erosion followed by dilation
+def opening(image):
+    kernel = np.ones((5, 5), np.uint8)
+    return cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)
+
+
+# canny edge detection
+def canny(image):
+    return cv2.Canny(image, 100, 200)
+
+
+# skew correction
+def deskew(image):
+    coords = np.column_stack(np.where(image > 0))
+    angle = cv2.minAreaRect(coords)[-1]
+    if angle < -45:
+        angle = -(90 + angle)
+
+    else:
+        angle = -angle
+    (h, w) = image.shape[:2]
+    center = (w // 2, h // 2)
+    M = cv2.getRotationMatrix2D(center, angle, 1.0)
+    rotated = cv2.warpAffine(image, M, (w, h), flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE)
+    return rotated
+
+
+# template matching
+def match_template(image, template):
+    return cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)
+
+
+def get_rome_number(img):
+    custom_config = r'-c tessedit_char_whitelist=ivxlcdm --psm 6'
+    text = pytesseract.image_to_string(img, config=custom_config)
+
+    return text
+
+
+# text = get_rome_number('test1.png')
+# print(text)