ocr

问题 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

问题 I am using below sample code for text detection in images (not handwritten) using coreml and vision. https://github.com/DrNeuroSurg/OCRwithVisionAndCoreML-Part2 In this they have used machine learning model which supports only uppercase and numbers. Where as in my project I want upper case, lower case , numbers and few of special characters (like : ,- ). I do not have any experience in python to do required changes and generate the required .mlmodel file using train data (which again I don't

问题 I am trying to get started using pytesseract but as you can see below I am having problems. I have found people getting what seems to be the same error and they say that it is a bug in PIL 1.1.7. Others say the problem is caused by PIL being lazy and one needs to force PIL to load the image with im.load() after opening it, but that didn't seem to help. Any suggestions gratefully received. K:\Glamdring\Projects\Images\OCR>python Python 2.7.8 (default, Jun 30 2014, 16:03:49) [MSC v.1500 32 bit

问题 The objective is to create bounding boxes using text recognition methods (eg: OpenCV) for US floor plan images, which can then be fed into a text reader (eg: LSTM or tesseract). Several methods which have been tried cv2.findContours and cv2.boundingRect methods have been attempted but have largely failed to generalise to different types of floor plans (there is a wide deviation in how the floor plans look). For example, cv2.findContours using grayscale, adaptive thresholds, erosion and

问题 The objective is to create bounding boxes using text recognition methods (eg: OpenCV) for US floor plan images, which can then be fed into a text reader (eg: LSTM or tesseract). Several methods which have been tried cv2.findContours and cv2.boundingRect methods have been attempted but have largely failed to generalise to different types of floor plans (there is a wide deviation in how the floor plans look). For example, cv2.findContours using grayscale, adaptive thresholds, erosion and

问题 I am developing a C# application in which I am converting a PDF document to an image and then rendering that image in a custom viewer. I've come across a bit of a brick wall when trying to search for specific words in the generated image and I was wondering what the best way to go about this would be. Should I find the x,y location of searched word? 回答1: You can use tessract OCR image for text recognition in console mode. I don't know about such SDK for pdf. BUT, if you want to get all word

问题 I have a scanned pdf file and I try to extract text from it. I tried to use pypdfocr to make ocr on it but I have error: "could not found ghostscript in the usual place" After searching I found this solution Linking Ghostscript to pypdfocr in Windows Platform and I tried to download GhostScript and put it in environment variable but it still has the same error. How can I searh text in my scanned pdf file using python? Thanks. Edit : here is my code sample: import os import sys import re

问题 I'm kinda new both to OCR recognition and Python. What I'm trying to achieve is to run Tesseract from a Python script to 'recognize' some particular figures in a .tif. I thought I could do some training for Tesseract but I didn't find any similar topic on Google and here at SO. Basically I have some .tif that contains several images (like an 'arrow', a 'flower' and other icons), and I want the script to print as output the name of that icon. If it finds an arrow then print 'arrow'. Is it

问题 I'm kinda new both to OCR recognition and Python. What I'm trying to achieve is to run Tesseract from a Python script to 'recognize' some particular figures in a .tif. I thought I could do some training for Tesseract but I didn't find any similar topic on Google and here at SO. Basically I have some .tif that contains several images (like an 'arrow', a 'flower' and other icons), and I want the script to print as output the name of that icon. If it finds an arrow then print 'arrow'. Is it

问题 I tried to use tess-two, a fork of Tesseract Tools for Android. I want to turn on hocr output in tesseract, from this link, I tried to set variable tessedit_create_hocr as true, but I can't see hocr in output. Here is my try: baseApi.init(FileUtil.getAppFolder(), "eng", TessBaseAPI.OEM_TESSERACT_CUBE_COMBINED); baseApi.setVariable("tessedit_create_hocr", "1") baseApi.setImage(bitmap); String recognizedText = baseApi.getUTF8Text(); Somebody told the hocr output should be in config folder or in