问题:pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it's not in your path
1.安装pip install pytesseract
2..安装tesseract-ocr,下载地址:https://github.com/UB-Mannheim/tesseract/wiki
安装的时候选择把chi_sim(中文简体)和chi_tra(中文繁体)数据库安装上
3.设置环境变量
问题:pytesseract.pytesseract.TesseractError: (1, 'Error opening data file C:\\Program Files (x86)\\Tesseract-OCR/eng.traineddata Please make sure the TESSDATA_PREFIX environment variable is set to your "tessdata" directory. Failed loading language \'eng\' Tesseract couldn\'t load any languages! Could not initialize tesseract.')
解决方法:
在.py文件中加入配置:tessdata_dir_config ='--tessdata-dir "C:\\Program Files (x86)\\Tesseract-OCR\\tessdata"'
代码:
import time
time1 = time.time()
from PILimport Image
import pytesseract
tessdata_dir_config ='--tessdata-dir "C:\\Program Files (x86)\\Tesseract-OCR\\tessdata"'
###########二值化算法
def binarizing(img, threshold):
pixdata = img.load()
w, h = img.size
for yin range(h):
for xin range(w):
if pixdata[x, y] < threshold:
pixdata[x, y] =0
else:
pixdata[x, y] =255
return img
image = Image.open(r'E://pythonprogram//data//image2.png')
###########去除干扰线算法
def depoint(img):# input: gray image
pixdata = img.load()
w, h = img.size
for yin range(1, h -1):
for xin range(1, w -1):
count =0
if pixdata[x, y -1] >245:
count = count +1
if pixdata[x, y +1] >245:
count = count +1
if pixdata[x -1, y] >245:
count = count +1
if pixdata[x +1, y] >245:
count = count +1
if count >2:
pixdata[x, y] =255
return img
# 转化为灰度图
img = image.convert('L')
# 把图片变成二值图像。
img1 = binarizing(img, 190)
# img2=depoint(img1)
img1.show()
code = pytesseract.image_to_string(img1,config=tessdata_dir_config)
print(str(code))
结果: