opencv银行卡卡号识别代码
时间: 2023-09-30 22:02:51 浏览: 46
以下是使用OpenCV实现银行卡卡号识别的代码示例:
```python
import cv2
import numpy as np
import pytesseract
# 读取图片
img = cv2.imread("card.jpg")
# 预处理图片
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (3, 3), 0)
edges = cv2.Canny(blur, 50, 150, apertureSize=3)
# 查找轮廓
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# 找到最大的轮廓
max_contour = max(contours, key=cv2.contourArea)
# 找到轮廓的四个角点
rect = cv2.minAreaRect(max_contour)
box = cv2.boxPoints(rect)
box = np.int0(box)
# 透视变换
width, height = int(rect[1][0]), int(rect[1][1])
src_pts = box.astype("float32")
dst_pts = np.array([[0, height], [0, 0], [width, 0], [width, height]], dtype="float32")
M = cv2.getPerspectiveTransform(src_pts, dst_pts)
warped = cv2.warpPerspective(img, M, (width, height))
# OCR识别
gray = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
card_number = pytesseract.image_to_string(gray, lang="eng", config="--psm 6")
# 显示结果
cv2.drawContours(img, [box], 0, (0, 0, 255), 2)
cv2.imshow("Original", img)
cv2.imshow("Warped", warped)
cv2.imshow("OCR", gray)
cv2.waitKey(0)
cv2.destroyAllWindows()
print("Card Number: " + card_number)
```
这个示例代码假设图像中只有一张银行卡,如果图像中有多张银行卡或者其他干扰物体,需要进一步处理。另外,OCR识别的准确率也可能受到图片质量、银行卡字体等因素的影响,需要进行调试和优化。