pca face recognition python code

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Python calls TESSERACT-OCR and zxing to complete image OCR recognition and QR code decoding

/java/jre6/bin/server/jvm.dll","-ea", ("-djava.class.path=%s"% (Jarpath +"Javase-2.2.jar"+";"+ Jarpath +"Core-2.2.jar")))#Load the useful library classesFile = Jclass ("Java.io.File") BufferedImage= Jclass ("Java.awt.image.BufferedImage") ImageIO= Jclass ("Javax.imageio.ImageIO") Binarybitmap= Jclass ("Com.google.zxing.BinaryBitmap") Decodehinttype= Jclass ("Com.google.zxing.DecodeHintType") Luminancesource= Jclass ("Com.google.zxing.LuminanceSource") Bufferedimageluminancesource= Jclass ("Com.g

Python Verification Code Recognition tutorial using projection method and connected domain method to segment pictures

This article mainly introduces the Python Verification Code recognition tutorial using projection method, connected domain method segmentation picture, has a certain reference value, now share to everyone, there is a need for friends can refer to Objective Today this article mainly records how to slice the verification code

Python based Selenium automation (3)-Enable verification code interception and recognition __python

These days are really busy smoking, a lot of projects piled together, night and day overtime. Plus some laziness, learning progress has not been much progress. This article mainly introduces the previous period of time to implement a function, I hope there is a need to get a little inspiration. Based on the UI layer of automation, there are some pits inside that almost everyone will encounter, one of which is registering or signing in with a CAPTCHA. Generated dynamically because of the validati

Python crawler entry-level recognition verification code

example, the matrix of number 6 num_6=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,

Python verification code recognition-Pre-processing

At present, the verification codes of many systems are becoming more and more complex and difficult to recognize by human eyes, especially for verification codes such as QQ. It is too difficult to identify them. There is a verification code: Generally, the verification codes are pre-processed, split, and identified. This verification code has no other noise, but there is a cross curve interference, a

Python Import image Error correction, recognition verification Code success

1, import image error, copy the PiL directory to the Site-packages directory, perform from PIL import image, you can 2. From pytesser import *, error, execute sys.path.append ("D:/software/15/python-packet/pytesser"), OK, then execute from pytesser import *, The error can not find the image module, modify the first sentence of the d:/software/15/python-packet/pytesser/pytesser.py to change from PIL import I

"Face change" with 200 lines of Python code

IntroducedThis article will show you how to write a Python script with only 200 lines and a "face change" for the characters in two portraits.This process can be divided into four steps: Detects facial markers. Rotate, scale, and transform the second image to fit the first image. Adjusts the color balance of the second image so that it matches the first one. The characteristics of the s

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