tesseract

问题 I am new to java cpp and tesseract-ocr. I am stuck with one issue from couple of hours. I am getting UnsatisfiedLinkError: no jnilept in java.library.path when I create TessBaseAPI. Below is the piece of my code. public static void tesseractForPdf(String filePath) throws Exception { BytePointer outText; TessBaseAPI api = new TessBaseAPI();//getting the UnsatisfiedLinkError exception here. // Initialize tesseract-ocr with English, without specifying tessdata path if (api.Init(".", "ENG") != 0)

问题 I'm trying to run a Googles OCR Tesseract with my android project. I have already complied tesseract with android-ndk and am receiving this error after I try and run the android project. My environment is as follows Android 5.1.1 android-ndk-r10e for windows android-sdk-r22 For reference, I'm building from an example that is listed here Example Link Thanks in advance! Here is a snippet of my logcat result: I/DEBUG ( 182): Revision: '0' I/DEBUG ( 182): ABI: 'arm' I/DEBUG ( 182): pid: 20291,

问题 I posted this text two days ago in answers.opencv.org, now I'm posting it here as well. http://answers.opencv.org/question/68634/text-contrib-module-and-tesseract/ Good afternoon to everyone. First of all, sorry for my english hehe. I've been trying to build the opencv contrib module 'text', however I haven't got sucess. Note: Other modules like xfeatures2d have never given me a problem. My platform is windows 7 x64 and I use VS2013 as compiler, I've followed this tutorial(http://vorba.ch

问题 I am trying to process the following image with leptonica to extract text with tesseract. Original Image: Tesseract on the original image yields this: i s l D2J1FiiE-l191x1iitmwii9 uhiaiislz-2 Q ~37 Bottom linez With a little time! you can learn social media technology using free online resources- And if you donity youlll be at a significant disadvantage to other HOn-pFOiiTS- Not great, especially the top background. So using leptionica I use a background removal algorithm (blur, difference,

问题 I want to use tesseract to recognize only numbers. The problem is that I have mixture of numbers & letters and when I use SetVariable("tessedit_char_whitelist", "0123456789") for every symbol tesseract returns wrong digit. Can I set a threshold value so that tesseract omits the symbols with low resemblance? NOTE: I set tesseract to recognize only digits so there is no confusion between O and 0. 回答1: Recognizing only numbers is actually answered on the tesseract FAQ page. See that page for

问题 In the Tesseract FAQ they say you can: How can I get the coordinates and confidence of each character ? There are two options. If you would rather not get into programming, you can use Tesseract's hocr output format (read the Tesseract manual page for details). But when I created a sample hOCR output (it's an .html file), the bounding boxes and confidence levels were only available at the word level . Am I missing something here? I've added the sample input/output as illustration (the input

问题 I'm trying to use Tesseract OCR library in my iOS application. I downloaded tesseract-ios library from github and when I tried to recognize a simple text image I got garbage instead. Here is an image of what I tried to recognize: I got unreadable text: T0I1101T0W KIR1 H1I1101T0W KIR1 H1I1101T0W CIBEPS H1 ES PBHY P306 EHH11 133I R1 11335 11I1H1 19 13S SYIL 3B19 M H300H1911 H1113 AIR1 J1 OIII 3I9SH5H133IS 13V9 I1 Q1H211 E015 19 W331 H1 111SW Why Tesseract can't recognise even simple image? Here

问题 I would like to implement an OCR application that would recognize text from Photos. I succeeded in Compiling and Integration the Tesseract Engine in iOS, I succeeded in getting reasonable detection when photographing clear documents (or a photoshot of this text from the screen) but for other text such as signposts, shop signs, colour background, the detection failed. The Question is What kind of image processing preparations are necessary to get better recognition. For example, I expect that

问题 I'm developing an app which can recognize license plates (ANPR). The first step is to extract the licenses plates from the image. I am using OpenCV to detect the plates based on width/height ratio and this works pretty well: But as you can see, the OCR results are pretty bad. I am using tesseract in my Objective C (iOS) environment. These are my init variables when starting the engine: // init the tesseract engine. tesseract = new tesseract::TessBaseAPI(); int initRet=tesseract->Init(