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步骤:边缘检测+计算轮廓+变换+OCR
def show(name, img):
cv2.imshow(name, img)
cv2.waitKey(0)
cv2.destroyAllWindows()
img = cv2.imread('tip.png')
show('img', img)
img = cv2.resize(img, (500, int((500 * img.shape[0])/img.shape[1])))
# 预处理
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (5, 5), 0)
# 边缘检测
edged = cv2.Canny(gray, 75, 200)
show('edged', edged)
# 轮廓处理
cnts = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)[0]
cnts = sorted(cnts, key=cv2.contourArea, reverse=True)[:5] # reverse=True表示倒序(从大到小)
for c in cnts:
# 计算轮廓近似
peri = cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, 0.02*peri, True)
# 如果近似为一个矩形
if len(approx) == 4:
screenCnt = approx
break
cv2.drawContours(img, [screenCnt], -1, (0, 255, 0),2)
show('img', img)
# 透视变换 def four_point_transform(img, pts): p = sorted(pts, key=lambda pts: pts[0, 1], reverse=False) p = sorted(p, key=lambda p: p[0, 0], reverse=False) tl, bl, tr, br = [i[0] for i in p] # 计算边长度 wA = np.sqrt(((br[0] - bl[0]) ** 2) + ((br[1] - bl[1]) ** 2)) wB = np.sqrt(((tr[0] - tl[0]) ** 2) + ((tr[1] - tl[1]) ** 2)) mw = max(int(wB), int(wA))+1 hA = np.sqrt(((tr[0] - br[0]) ** 2) + ((tr[1] - br[1]) ** 2)) hB = np.sqrt(((tl[0] - bl[0]) ** 2) + ((tl[1] - bl[1]) ** 2)) mh = max(int(hB), int(hA))+1 # 变换后对应坐标位置 dst = np.array([ [0, 0], [mw-20, 0], [mw-20, mh-20], [0, mh-20] ], dtype="float32") # 计算变换矩阵 rect = np.zeros((4,2), dtype="float32") rect[0] = tl.astype(float).tolist() rect[1] = tr.astype(float).tolist() rect[2] = br.astype(float).tolist() rect[3] = bl.astype(float).tolist() M = cv2.getPerspectiveTransform(rect, dst) warped = cv2.warpPerspective(img, M, (mw, mh)) return warped warped = four_point_transform(orig, screenCnt) show('warped', warped) # 二值处理 warped = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY) ref = cv2.threshold(warped, 180, 255, cv2.THRESH_BINARY)[1] show('ref', ref)
OCR识别
import pytesseract
from PIL import Image
cv2.imwrite("ocr.png", ref)
# 下载地址:https://github.com/UB-Mannheim/tesseract/wiki
# tesseract.exe的路径
pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract-OCR\\tesseract.exe'
# 指定训练集的路径
tessdata_dir_config = r'--tessdata-dir "C:\Program Files\Tesseract-OCR\tessdata"'
test =pytesseract.image_to_string(Image.open("ocr.png"))
print(test)
识别结果:
完整代码
import cv2 # opencv读取的格式是BGR import matplotlib.pyplot as plt import numpy as np def show(name, img): cv2.imshow(name, img) cv2.waitKey(0) cv2.destroyAllWindows() img = cv2.imread('tip.png') # show('img', img) ratio = img.shape[0] / 500.0 orig = img.copy() img = cv2.resize(img, (500, int((500 * img.shape[0])/img.shape[1]))) # 预处理 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.GaussianBlur(gray, (5, 5), 0) # 边缘检测 edged = cv2.Canny(gray, 75, 200) # show('edged', edged) # 轮廓处理 cnts = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)[0] cnts = sorted(cnts, key=cv2.contourArea, reverse=True)[:5] # reverse=True表示倒序(从大到小) for c in cnts: # 计算轮廓近似 peri = cv2.arcLength(c, True) approx = cv2.approxPolyDP(c, 0.02*peri, True) # 如果近似为一个矩形 if len(approx) == 4: screenCnt = approx break cv2.drawContours(img, [screenCnt], -1, (0, 255, 0), 2) # show('img', img) # 透视变换 def four_point_transform(img, pts): p = sorted(pts, key=lambda pts: pts[0, 1], reverse=False) p = sorted(p, key=lambda p: p[0, 0], reverse=False) tl, bl, tr, br = [i[0] for i in p] # 计算边长度 wA = np.sqrt(((br[0] - bl[0]) ** 2) + ((br[1] - bl[1]) ** 2)) wB = np.sqrt(((tr[0] - tl[0]) ** 2) + ((tr[1] - tl[1]) ** 2)) mw = max(int(wB), int(wA))+1 hA = np.sqrt(((tr[0] - br[0]) ** 2) + ((tr[1] - br[1]) ** 2)) hB = np.sqrt(((tl[0] - bl[0]) ** 2) + ((tl[1] - bl[1]) ** 2)) mh = max(int(hB), int(hA))+1 # 变换后对应坐标位置 dst = np.array([ [0, 0], [mw-20, 0], [mw-20, mh-20], [0, mh-20] ], dtype="float32") # 计算变换矩阵 rect = np.zeros((4,2), dtype="float32") rect[0] = tl.astype(float).tolist() rect[1] = tr.astype(float).tolist() rect[2] = br.astype(float).tolist() rect[3] = bl.astype(float).tolist() M = cv2.getPerspectiveTransform(rect, dst) warped = cv2.warpPerspective(img, M, (mw, mh)) return warped warped = four_point_transform(orig, screenCnt) # show('warped', warped) # 二值处理 warped = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY) ref = cv2.threshold(warped, 180, 255, cv2.THRESH_BINARY)[1] show('ref', ref) import pytesseract from PIL import Image cv2.imwrite("ocr.png", ref) # 下载地址:https://github.com/UB-Mannheim/tesseract/wiki # tesseract.exe的路径 pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract-OCR\\tesseract.exe' # 指定训练集的路径 tessdata_dir_config = r'--tessdata-dir "C:\Program Files\Tesseract-OCR\tessdata"' test =pytesseract.image_to_string(Image.open("ocr.png")) print(test)
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