Python sample sharing for image recognition

This article mainly describes the Python programming implementation of the image recognition function, involving the Python PIL module installation and use of skills, the need for friends can refer to the following

This paper describes the image recognition function implemented by Python programming. Share to everyone for your reference, as follows:

1. Install PIL, the official no WIN64 bit, pillow replace

Pip Install PILLOW-2.7.0-CP27-NONE-WIN_AMD64.WHL

2. Installing Pytesser

Download Pytesser_v0.0.1.zip, unzip and copy into Python27\lib\site-packges\pytesser path, no pytesser new

Create a new pytesser.pth file in Python27\lib\site-packges\pytesser with the contents of Pytesser

Within the Pytesser, modify the three point

①pytesser.py modified into __init.py__

② modifying pytesser.py

Import Image

Switch

From PIL import Image

Tesseract_exe_name = ' tesseract ' instead of tesseract_exe_name = ' python27\\lib\\site-packges\\pytesser\\tesseract ' note \ Escape

③ installation Tesseract

After the download, find the Tessdata folder, and replace it with Pytesser extracted Tessdata folder.

However, in addition to the test verification code, the remaining system verification code recognition rate is very low.

Test code attached

from pytesser import *from PIL import Image, Imageenhanceim = Image.open (' D:\Python27\Lib\ Site-packages\pytesser\phototest.tif ') im2 = Image.open (R ' D:\Python27\Lib\site-packages\pytesser\fnord.tif ', ' R ') IM3 = Image.open (R ' F:\PROJECT\python\code\Study_1\src\20170424\cp.jpg ', ' R ') #文件读写模式以防报错 # image processing 1:: Black and white processing enhancer = Imageenhance.contrast (im3) image2 = enhancer.enhance (5) image2.show () print image_to_string (image2) #图片处理2: noise reduction processing imgry =   Im3.convert (' L ') #灰度处理 # Grayscale processing on the basis of two value processing threshold = 140table = []for i in range: if I < threshold:table.append (0) Else:table.append (1) out = imgry.point (table, ' 1 ') out.show () Text = image_to_string (out) if Text.isspace (): print "FA ILE "Else:print text#print text