”彩色的验证码，使用pytesseract识别出来的验证码内容一直是空“的解决办法

问题：彩色的验证码，使用pytesseract识别出来的验证码内容一直是空字符串

原因：pytesseract只识别黑色部分的内容

解决办法：先把彩色图片精确转换成黑白图片。再将黑白图片进行反相，将验证码部分的内容变成黑色，背景变成白色的。

代码：

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date    : 2019-11-204 T11:18:38.406Z
# @Author  : HuangChang

import numpy as np
import cv2
from PIL import Image
import pytesseract

# 1、将彩色图片转换成黑白图片
##(1) read into  bgr-space
img = cv2.imread("../screenshots/verification_code.png")

##(2) convert to hsv-space, then split the channels
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv)

##(3) threshold the S channel using adaptive method(`THRESH_OTSU`)
th, threshed = cv2.threshold(s, 100, 255, cv2.THRESH_OTSU | cv2.THRESH_BINARY)

##(4) print the thresh, and save the result
print("Thresh : {}".format(th))
cv2.imwrite("../screenshots/verification_code2.png", threshed)

# 2、将上步生成的黑白图片中的需要识别的内容改成黑色，即将图片进行黑白反相
img2 = cv2.imread("../screenshots/verification_code2.png")
height, width, channels = img2.shape
print("width:%s,height:%s,channels:%s" % (width, height, channels))

for row in range(height):
    for list in range(width):
        for c in range(channels):
            pv = img2[row, list, c]
            img2[row, list, c] = 255 - pv
cv2.imshow("AfterDeal", img2)
cv2.imwrite("../screenshots/verification_code3.png", img2)

# 3、读取验证码
img3 = cv2.imread("../screenshots/verification_code3.png")
code_str = pytesseract.image_to_string(img3, lang="eng", config="--psm 8")

print(''.join(code_str.split()))

原文地址：https://blog.csdn.net/iOS_HC/article/details/145298162

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