本文实例为大家分享了python实现验证码识别的具体代码,供大家参考,具体内容如下
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'.'
python代码:
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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] # *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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以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/Li_Jiaqian/article/details/80592990