【Python】Python简单验证码识别

1.通过二值化处理去掉干扰线

2.对黑白图片进行降噪,去掉那些单独的黑色像素点

3.消除边框上附着的黑色像素点

4.识别图像中的文字,去掉空格与’.’

from PIL import Image
from aip import AipOcr

file='1-1-7'

# 二值化处理,转化为黑白图片
def two_value():
    for i in range(1, 5):
        # 打开文件夹中的图片  
        image = Image.open(file+'.jpg')
        # 灰度图  
        lim = image.convert('L')
        # 灰度阈值设为165,低于这个值的点全部填白色  
        threshold = 165
        table = []

        for j in range(256):
            if j < threshold:
                table.append(0)
            else:
                table.append(1)

        bim = lim.point(table, '1')
        bim.save(file+'.1.jpg')

two_value()

# 去除干扰线
im = Image.open(file+'.1.jpg')
# 图像二值化
data = im.getdata()
w, h = im.size
black_point = 0

for x in range(1, w - 1):
    for y in range(1, h - 1):
        mid_pixel = data[w * y + x]  # 中央像素点像素值
        if mid_pixel < 50:  # 找出上下左右四个方向像素点像素值
            top_pixel = data[w * (y - 1) + x]
            left_pixel = data[w * y + (x - 1)]
            down_pixel = data[w * (y + 1) + x]
            right_pixel = data[w * y + (x + 1)]

            # 判断上下左右的黑色像素点总个数
            if top_pixel < 5:   #小于5比小于10更精确
                black_point += 1
            if left_pixel < 5:
                black_point += 1
            if down_pixel < 5:
                black_point += 1
            if right_pixel < 5:
                black_point += 1
            if black_point < 1:
                im.putpixel((x, y), 255)
                # print(black_point)
            black_point = 0

im.save(file+'.2.jpg')

# 去除干扰线
im = Image.open(file+'.2.jpg')
# 图像二值化
data = im.getdata()
w, h = im.size
black_point = 0

for x in range(1, w - 1):
    for y in range(1, h - 1):
        if x < 2 or y < 2:
            im.putpixel((x - 1, y - 1), 255)
        if x > w - 3 or y > h - 3:
            im.putpixel((x + 1, y + 1), 255)

im.save(file+'.3.jpg')

# 定义常量
APP_ID = '11352343'
API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE'
SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os'

# 初始化AipFace对象
aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY)

# 读取图片
filePath=file+'.3.jpg'
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

# 定义参数变量
options = {
    'detect_direction': 'true',
    'language_type': 'CHN_ENG',
}

# 调用通用文字识别接口
result = aipOcr.basicGeneral(get_file_content(filePath), options)
print(result)
words_result=result['words_result']
for i in range(len(words_result)):
    print(words_result[i]['words'].replace(' ','').replace('.',''))  #去掉可能被识别的空格与.



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转载自blog.csdn.net/Li_Jiaqian/article/details/80592990