《OpenCV》—— 指纹验证

• 用两张指纹图片中的其中一张对其验证
  

• 完整代码

  import cv2
  
  
  def cv_show(name, img):
      cv2.imshow(name, img)
      cv2.waitKey(0)
  
  
  def verification(src, model):
  
      sift = cv2.SIFT_create()
  
      kp1, des1 = sift.detectAndCompute(src, None)
  
      kp2, des2 = sift.detectAndCompute(model, None)
  
      flann = cv2.FlannBasedMatcher()
  
      matches = flann.knnMatch(des1, des2, k=2)
  
      ok = []
      for m, n in matches:
  
          if m.distance < 0.8 * n.distance:
              ok.append(m)
  
      num = len(ok)
      if num >= 500:
          result = "认证通过"
      else:
          result = "认证失败"
      return result
  
  
  if __name__ == '__main__':
      src1 = cv2.imread("src1.bmp")
      cv_show('src1', src1)
      src2 = cv2.imread('src2.bmp')
      cv_show('src2', src2)
      model = cv2.imread('model.bmp')
      cv_show('model', model)
  
      result1 = verification(src1, model)
      result2 = verification(src2, model)
      print("src1验证结果为：", result1)
      print("src2验证结果为：", result2)

• 运行结果