tesseract

Android OCR detecting digits only using popular tessercat fork tess-two

霸气de小男生 提交于 2019-12-04 09:11:10
I'm using the popular OCR tessercat fork for android tess-two https://github.com/rmtheis/tess-two . I integrated all the staff and it works etc... But I need to detect only digits, my code for now is: TessBaseAPI baseApi = new TessBaseAPI(); baseApi.init(pathToLngFile, langName); baseApi.setImage(bitmap); String recognizedText = baseApi.getUTF8Text(); baseApi.end(); doSomething(recognizedText); From here https://code.google.com/p/tesseract-ocr/wiki/FAQ#How_do_I_recognize_only_digits ? I'm using version V3, and there ain't code solution instead some command line solution - not relevant for

Pytesser set character whitelist

吃可爱长大的小学妹 提交于 2019-12-04 09:04:29
Does anyone know how to set the character whitelist for Pytesseract? I want it to only output A-z and 0-9. Is this possible? I have the following: img = Image.open('test.jpg') result = pytesseract.image_to_string(img, config='-psm 6') I'm getting other characters like / for a 1 so I would like to limit the options of possible characters. James Vaughn You can accomplish that with the below line. Or you can setup the config file for tesseract to do the same thing Limit characters tesseract is looking for pytesseract.image_to_string(question_img, config="-c tessedit_char_whitelist

Empty string with Tesseract

╄→尐↘猪︶ㄣ 提交于 2019-12-04 05:20:02
问题 I'm trying to read different cropped images from a big file and I manage to read most of them but there are some of them which return an empty string when I try to read them with tesseract. The code is just this line: pytesseract.image_to_string(cv2.imread("img.png"), lang="eng") Is there anything I can try to be able to read these kind of images? Thanks in advance Edit: 回答1: Thresholding the image before passing it to pytesseract increases the accuracy. import cv2 import numpy as np #

unicharset_extractor: command not found

北城余情 提交于 2019-12-04 04:15:12
I want create new train data using tesseract. So follow step which mentioned in below website. https://blog.cedric.ws/how-to-train-tesseract-301 I got below error while i execute Unicharset in OS X terminal. Command: unicharset_extractor eng.micrtest.exp.box Error: -bash: unicharset_extractor: command not found I have using below software versions OS: OSX EI caption 10.11.1 tesseract 3.04.01 leptonica-1.72 libjpeg 8d : libpng 1.6.21 : libtiff 4.0.6 : lib 1.2.5 is this possible to execute unchaste_extractor command in OSx? Thanks in advance. Problem is "Unicharset_extractor" not install in your

Tesseract OCR force pattern

对着背影说爱祢 提交于 2019-12-04 04:08:24
I want to read a specific character sequence with Tesseract like this post : Tesseract OCR: is it possible to force a specific pattern? I have tried bazaar matching pattern in Tesseract with the pattern \d\d\d\A\A and ocr still recognize other words which doesn't match. I have tried to use the "tessedit_char_whitelist" parameter but I can't choose the position of the characters with that. I launch the command : tesseract image.jpg result -l eng bazaar And I have this message : Please provide at least 4 concrete characters at the beginning of the pattern Invalid user pattern \A\A\d\d\d

How does one install Tesseract-OCR 3.03 in Ubuntu/Linux distributions?

前提是你 提交于 2019-12-04 00:26:20
A friend and I are interested in training the tesseract-OCR engine for a CV project. We tried using some wrappers such as PyTesser and pyocr, but the results are currently not as accurate as we need them to be. As such, we want to try training the tesseract to perform better for our purposes (i.e. identifying text on food labels), but are having some trouble installing the training tools. What we've tried: Looking on the google code website, the 'Compiling' page on the tesseract's google code wiki says the training tools are only available on version 3.03. However, the google code 'Downloads'

Tesseract OCR: Recognize complete dictionary words only

柔情痞子 提交于 2019-12-03 22:48:49
I'm using the tesseract OCR plugin for phonegap: https://github.com/jcesarmobile/PhonegapOCRPlugin/i I'm trying to config tesseract to recognize complete dictionary words only. That is: no special characters, no suffixes or prefixes etc. As the tessdata folder from this project doesn't contain any configs I thought I'd set configs on init. Right now I'm trying to set configs by modifying claseAuxiliar.mm but I can't say I've noticed any difference, this might be because the configs are wrong or that I'm setting them wrong. Below are my configs and how I'm currently trying to set them: // init

Tesseract empty page

旧街凉风 提交于 2019-12-03 21:45:11
I use tesseract for detecting characters on image. try { using (var engine = new TesseractEngine(@"C:\Users\ea\Documents\Visual Studio 2015\Projects\ocrtTest", "eng", EngineMode.Default)) { using (var img = Pix.LoadFromFile(testImagePath)) { Bitmap src = (Bitmap)Image.FromFile(testImagePath); using (var page = engine.Process(img)) { var text = page.GetHOCRText(1); File.WriteAllText("test.html", text); //Console.WriteLine("Text: {0}", text); //Console.WriteLine("Mean confidence: {0}", page.GetMeanConfidence()); int p = 0; int l = 0; int w = 0; int s = 0; int counter = 0; using (var iter = page

Tesseract .NET Process image from memory object

a 夏天 提交于 2019-12-03 21:13:41
From what I understand (I could be wrong) Pix.LoadFromFile is the only way to get Pix for processing. is there any other way, such as from a bitmap? I am not professional in tesseract, but you can use the following: Bitmap bmp = (Bitmap)Bitmap.FromFile(MyImgFilePath); Pix img = PixConverter.ToPix(bmp); you can take a look at source code of PixConverter at : https://github.com/charlesw/tesseract/blob/master/src/Tesseract/PixConverter.cs 来源: https://stackoverflow.com/questions/26162169/tesseract-net-process-image-from-memory-object

Does Tesseract neglect any nontext area in a scanned document?

假如想象 提交于 2019-12-03 21:05:30
I'm using Tesseract but I don't know whether it neglects any nontext area and targets text only. Do I have to remove any nontext area as a preprocessing step for better output? karlphillip Tesseract has a pretty good algorithm to detect text, but it will eventually give false-positive matches. Ideally, you would pre-process the image before submitting it to tesseract. Some time ago I engaged in a similar task, so I suggest you take a look at the following material: OpenCV C++/Obj-C: Detecting a sheet of paper / Square Detection Executing cv::warpPerspective for a fake deskewing on a set of cv: