用python做车牌识别如何提高准确率

齐紫荆。

用python中的opencv 做的车牌识别，其中车牌提取准确率不是很高，有没有提高准确率的办法。
import cv2
from matplotlib import pyplot as plt

def cv2_show(name,image):
    cv2.imshow(name,img)
    cv2.waitKey()
    cv2.destroyAllWindows()

def plt_show0(img):
    b,g,r = cv2.split(img)
    img = cv2.merge([r,g,b])
    plt.imshow(img)
    plt.show()

def plt_show(img):
    plt.imshow(img,cmap="gray")
    plt.show()

rawImage = cv2.imread(r"C:\Users\86182\Desktop\biyesheji\chepai.png")
#plt_show0(rawImage)

#高斯去噪
image = cv2.GaussianBlur(rawImage,(3,3),0)
#plt_show0(image)

#灰度处理
gray_image = cv2.cvtColor(image,cv2.COLOR_RGB2GRAY)
#plt_show(gray_image)

#阈值处理
ret,image = cv2.threshold(gray_image,0,255,cv2.THRESH_OTSU)
#plt_show(image)

#黑白转换
area_white = 0
area_black = 0
height, width = image.shape
print(image.shape)
for i in range(height):
    for j in range(width):
        if image[i,j] == 255:
            area_white += 1
        else:
            area_black += 1

if area_white>area_black:
    ret,image = cv2.threshold(gray_image,0,255,cv2.THRESH_OTSU | cv2.THRESH_BINARY_INV)
    plt_show(image)

kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(2,2))
image = cv2.dilate(image,kernel)
plt_show(image)

contours,hierarchy = cv2.findContours(image,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
image1 = rawImage.copy()
cv2.drawContours(image1,contours,-1,(0,0,255),1)
plt_show0(image1)

words = []
for item in contours:
    word = []
    rect = cv2.boundingRect(item)
    x = rect[0]
    y = rect[1]
    weight = rect[2]
    height = rect[3]
    word.append(x)
    word.append(y)
    word.append(weight)
    word.append(height)
    words.append(word)

word = sorted(words,key=lambda s:s[0],reverse=False)

print(words)
i = 0
for word in words:
    if (word[3]>(word[2] * 1.3)) and (word[3] < (word[2] * 3)):
        i = i + 1
        image = rawImage[word[1]:word[1] + word[3],word[0]:word[0] + word[2]]
        #plt_show0(image)
        #cv2.imwrite(r"C:\Users\86182\Desktop\biyesheji\text " + str(i) + ".png",image)

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