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一、安装配置（python2.7）
1.pip install pytesseract 2、pip install pyocr 3、pip install pillow 4、安装tesseract-ocr：http://jaist.dl.sourceforge.net/project/tesseract-ocr-alt/tesseract-ocr-setup-3.02.02.exe，安装在C:\Program Files\下 5、找到 pytesseract.py 更改 tesseract_cmd = 'C:/Program Files/Tesseract-OCR/tesseract.exe'二、识别英文
三、识别验证码
二、实现源代码 1、识别英文
#-*-coding:utf-8-*- import sys reload(sys) sys.setdefaultencoding('utf-8') import time time1 = time.time() from PIL import Image import pytesseract image = Image.open(r'D:\Program Files\Python27\Lib\site-packages\pytesseract\test.png') code = pytesseract.image_to_string(image) print(code)2、识别验证码
#-*-coding:utf-8-*- import sys reload(sys) sys.setdefaultencoding('utf-8') import time time1 = time.time() from PIL import Image import pytesseract ###########二值化算法 def binarizing(img,threshold): pixdata = img.load() w, h = img.size for y in range(h): for x in range(w): if pixdata[x, y] < threshold: pixdata[x, y] = 0 else: pixdata[x, y] = 255 return img image = Image.open(r'E:\taqu\12.png') ###########去除干扰线算法 def depoint(img): #input: gray image pixdata = img.load() w,h = img.size for y in range(1,h-1): for x in 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) print "识别该验证码是:" + str(code)