python实现指纹识别系统代码

这里提供一个基于Python实现的指纹识别系统的简单代码示例：

import cv2
import numpy as np

# 图像预处理
img = cv2.imread('fingerprint.png', 0)
blur = cv2.GaussianBlur(img, (5, 5), 0)
ret, thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)

# 特征提取
kernel = np.ones((3, 3), np.uint8)
opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=1)
sure_bg = cv2.dilate(opening, kernel, iterations=3)
dist_transform = cv2.distanceTransform(opening, cv2.DIST_L2, 5)
ret, sure_fg = cv2.threshold(dist_transform, 0.7 * dist_transform.max(), 255, 0)
sure_fg = np.uint8(sure_fg)
unknown = cv2.subtract(sure_bg, sure_fg)
ret, markers = cv2.connectedComponents(sure_fg)
markers = markers + 1
markers[unknown == 255] = 0
markers = cv2.watershed(img, markers)
img[markers == -1] = [255, 0, 0]

# 显示结果
cv2.imshow("Input Image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

这个例子实现了一些基本的图像预处理和特征提取操作，包括高斯滤波、二值化、形态学转换、距离变换、分水岭算法等。可以根据具体的需求和应用场景，对代码进行调整和优化。