java ocr

Then the previous OCR said. The previous article introduced the simple use of tesseract in the command line, of course, to inherit into our program, or need code implementation. Here's a sample of the Java implementation that you'll share.watermark/2/text/ahr0cdovl2jsb2cuy3nkbi5uzxqvbg1qnjiznty1nzkx/font/5a6l5l2t/fontsize/400/fill/i0jbqkfcma==/ Dissolve/70/gravity/center "/>Take the code to scan the image a

TESS4J is the Java JNA Encapsulation of the tesseract OCR API. Enables Java to use Tesseract OCR by invoking the TESS4J API. Supported formats: Tiff,jpeg,gif,png,bmp,jpeg,and PDFTesseract's github address: https://github.com/tesseract-ocr/tesseractTESS4J's github address: ht

results, whicheverThe results are worrying.Fortunately, we can improve the recognition rate method.Increase the number recognition rate, specify the recognition character rangeLocate the Tessdata\configs in the installation directory, open the digits file, and use the text editor as well.I installed it in this directoryD:\Program Files (x86) \tesseract-ocr\tessdata\configs\digitsYou will see the following sentence, we just need to identify the number

JAVA Validation Recognition: Training samples based on Jtessboxeditorfx and TESSERACT-OCRTool Preparation:Jtessboxeditorfx Download:Https://github.com/nguyenq/jTessBoxEditorFXTESSERACT-OCR Download:https://sourceforge.net/projects/tesseract-ocr/Main steps: Jtessboxeditorfx,tesseract-ocr(environment variable configu

recognition, the following continue to refer to other parametersNumber of references 3:-lNumber 4: The language library usedThe reference 3-l should be aware of the language library used in the 4, the default English, which is why the above example of identifying English, and did not enter the number of parameters 3 and 4. The recognition is also realized.The following continues our experiment:We prepared a picture, then use tesseract zhongwen.jpg 7-l chi_sim to specify the Chinese language, an

Recently suddenly on the phone of the OCR function is interested in, so studied the Java OCR Technology, found on Google TESSERACT-OCR, finally found its corresponding Java API version tess4j, the intermediate debugging process is abnormal twists and turns, Finally spent hal

The following links contain the jar packages that are required for the installation package and the program to run, and the Chinese resource pack.How to use the Chinese package: Find the Tessdata installation directory (my Local: C:\Program Files (x86) \tesseract-ocr\tessdata), replace Eng.traineddata with Chi_sim.traineddata , and rename the Chi_sim.traineddata to Eng.traineddataResource Bundle: HTTP://PAN.BAIDU.COM/S/1DFC0EM1Code please refer to: ht

Recently the work needs to do a picture verification code automatic recognition function. But the internet for the original image processing methods have to noise, gray, and so on, but difficult to find the way to remove the interference line. So according to the code found on the Internet, I tried to write a paragraph, the pro-test effective, can be more clean to remove interference lines, improve the accuracy of OCR recognition. The following code i

/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")

Optical character recognition (ocr,optical Character recognition) refers to the process of scanning text data, and then analyzing and processing the image files to obtain the text and layout information. OCR technology is very professional, generally many printing, printing industry practitioners use, can quickly convert paper data into electronic data. About Chinese OC