汽车相关识别优惠

import cv2
import pytesseract

def recognize_license_plate(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # 使用OpenCV进行边缘检测
    edged_image = cv2.Canny(gray_image, 50, 150)
    
    # 查找轮廓
    contours, _ = cv2.findContours(edged_image.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    
    for contour in contours:
        perimeter = cv2.arcLength(contour, True)
        approx = cv2.approxPolyDP(contour, 0.02 * perimeter, True)
        
        if len(approx) == 4:
            x, y, w, h = cv2.boundingRect(approx)
            aspect_ratio = float(w) / h
            
            if 2 < aspect_ratio < 5:
                plate_image = gray_image[y:y+h, x:x+w]
                text = pytesseract.image_to_string(plate_image)
                return text.strip()

# 使用示例
plate_number = recognize_license_plate('path_to_image.jpg')
print("识别的车牌号码:", plate_number)