ocr

问题 I'm trying to do OCR using pytesser downloaded from HERE. Here is the code of pytesser.py try: import cv2.cv as cv OPENCV_AVAILABLE = True except ImportError: OPENCV_AVAILABLE = False from subprocess import Popen, PIPE import os PROG_NAME = 'tesseract' TEMP_IMAGE = 'tmp.bmp' TEMP_FILE = 'tmp' #All the PSM arguments as a variable name (avoid having to know them) PSM_OSD_ONLY = 0 PSM_SEG_AND_OSD = 1 PSM_SEG_ONLY = 2 PSM_AUTO = 3 PSM_SINGLE_COLUMN = 4 PSM_VERTICAL_ALIGN = 5 PSM_UNIFORM_BLOCK = 6

问题 I have installed Anaconda on windows after my Python3.4 installation. I'm referring this link : http://benedict-chan.github.io/blog/2014/11/07/setup-python-environment-in-visual-studio/ to setup anaconda from my VS2015 and Windows 10 like this: I have written the following code by referring this : http://www.manejandodatos.es/2014/11/ocr-python-easy/ to read text from an image. However, I'm getting below error: What am I doing wrong? Moreover, When I checked back the setting (from Tools -

问题 I'm using Serak Tesseract Trainer for Tesseract 3.0x. I added a Train Image, which then came from jTessBoxEditor (a Box Generator). When I pressed Train Tesseract, a DOS command prompts me, it's like training the image, then suddenly this appeared: Reading dos.bookmanoldstyle.exp0.tr ... Font id = -1/0, class id = 1/42 on sample 0 font_id >= 0 && font_id < font_id_map_.SparseSize():Error:Assert failed:in file ....\classify\trainingsampleset.cpp, line 622 then a dialog box appeared that tells

问题 Trying OCR on pdf in r and it is giving me the error. After running the code the "i.txt" file is also been generated, but still the error is getting. pdftoppm version 4.00 Copyright 1996-2017 Glyph & Cog, LLC Usage: pdftoppm [options] <PDF-file> <PPM-root> -f <int> : first page to print -l <int> : last page to print -r <number> : resolution, in DPI (default is 150) -mono : generate a monochrome PBM file -gray : generate a grayscale PGM file -freetype <string>: enable FreeType font rasterizer:

问题 I am stuck in a pixel matching algorithm for finding symbols in an image. I have two images of symbols that I intend to find in an image that has big resolution. Instead of a pixel by pixel matching algorithm, is there a fast algorithm that gives the same result as that of pixel matching algorithm. The result should be similar to: (percentage of pixel matched) divide by (total pixels). My problem is that I wish to find certain symbols in a 1 bit image. The symbol appear with exact similarity

问题 I was trying to make the google vision OCR regex searchable. I have completed it and works pretty well when the document contains only English characters. But it fails when there is the text of other languages. It's happening because I have only English characters in google vision word component as follows. VISION_API_WORD_COUNTERS = "([a-zA-Z0-9]+)|([^a-zA-Z0-9 ])"; VISION_API_WORD_COMPONENTS = "[a-zA-Z0-9]"; VISION_API_NOT_WORD_COMPONENTS = "[^a-zA-Z0-9]"; As I can't include characters from

问题 How do I implement the Tesseract OCR in a monotouch application for Iphone? 回答1: First you need to have the library ported to iOS and available as a static library. That where Vikas' answer (Pocket-PCR) might comes handy (but I have not tried it). Next you'll need to create C# bindings to the library. When the API is exports C functions you can use normal .NET pinvokes, i.e. using DllImport attributes. When an Objective-C API is provided then you can create bindings using the btouch tool.

问题 I am trying to read captcha using pytesseract module. And it is giving accurate text most of the time, but not all the time. This is code to read the image, manipulate the image and extract text from the image. import cv2 import numpy as np import pytesseract def read_captcha(): # opencv loads the image in BGR, convert it to RGB img = cv2.cvtColor(cv2.imread('captcha.png'), cv2.COLOR_BGR2RGB) lower_white = np.array([200, 200, 200], dtype=np.uint8) upper_white = np.array([255, 255, 255], dtype

问题 I followed the step by step guide found here: https://www.codeproject.com/Articles/840623/Android-Character-Recognition At step 2 when I added tess-two as module dependency to app and synced gradle, it failed with the following error: Error:Project :app declares a dependency from configuration 'compile' to configuration 'default' which is not declared in the descriptor for project :libraries:tess-two. I have tried many combinations of settings.gradle and searched for hours, any help will be

问题 I am using tesseract as the OCR engine for my ANPR application. I have trained tesseract 3.01v with the numberplate font. But I need to know: Which files should be included in the tessdata folder? Should I use the same tessdata folder where tesseract 3.01v is installed? I have trained with tesseract 3.01v and I am using tessnet2 in my code so will it be a problem? Following is the code that I tried it with but it keeps exiting from the DoOcr() method. List<tessnet2.Word> ocrText = new List