tesseract api

and then output. Here, the own trim () method and the length () method are invoked to do some corresponding processing. About the Init () method, the official API introduction: Instances are now mostly thread-safe and totally independent, but some global parameters >remain. Basically it is safe to use multiple Tessbaseapis in different threads in parallel, unless:you use setvariable on some of The Params in classify and Textord. If you do, then the e

Werd_choice to make mult-language handling easier. Fixed problems with internally scaled images. Added page and Bbox to string on TR files to identify source of training data better. Fixes to Hindi Shiroreka Splitter. Added word bigram correction. Reduced stack memory consumption and eliminated some ugly typedefs. Added new uniform classifier API. Added New Training error counter. Fixed endian bug in Dawg Reader. C

Step 4 are completed, several files should be generated under the directory. The four files unicharset, inttemp, normproto, and pfftable should be prefixed with the training name "haijia .". 14. Run "combine_tessdata haijia." On the command line to merge the generated haijia. traineddata training file. After this step is completed, a haijia should be generated under the folder. traineddata file. This file is the training data file used for identification. You only need this haijia file. you can

:Java code for (int y = miny; y For (int x = MinX; x int RGB = BUFFIMG.GETRGB (x, y); Color color = new color (RGB);//R,g,b color is obtained according to the int value of RGB. int value = 255-color.getblue (); if (value > average) { Color Newcolor = new Color (0, 0, 0); Buffimg.setrgb (x, Y, Newcolor.getrgb ()); } Else { Color Newcolor = new Color (255, 255, 255); Buffimg.setrgb (x, Y, Newcolor.getrgb ()); } } } ResultsSee how it works, eliminating the ste

()); } } Results3. Again is two value, take the average grayscale of the picture as the threshold value, below which all is 0, above this value all is 255:Java code for (int y = miny; y For (int x = MinX; x int RGB = BUFFIMG.GETRGB (x, y); Color color = new color (RGB);//R,g,b color is obtained according to the int value of RGB. int value = 255-color.getblue (); if (value > average) { Color Newcolor = new Color (0, 0, 0); Buffimg.setrgb (x, Y, Newcolor.getrgb ());

Installing TESSERACT-OCRPreparatory work:Compilation environment: GCC gcc-c++ make (this environment is common machine, can be ignored) ? 1 yum install gcc gcc-c++ make Dependent packages: autoconf automake libtool libjpeg-devel libpng-devel libtiff-devel zlib-devel Leptonica (1.67 or more)1. autoconf automake libtool libjpeg-devel libpng-devel libtiff-devel Zlib-devel can be installed via Yum:? 12 yum install

Training Methods for tesseract 3 language data (to) classification: open-source 92 people read comments (0) report collection Note: I have downloaded the source code from Google code. I have converted it into lib_debug and then generated dll_debug. So I copied it directly from E: \ buildfolder \ Tesseract-OCR \ vs2008 \ lib_debug. Upload to E: \ buildfolder \ Tesseract