tesseract

Is there any way to install Tesseract OCR in a venv/web server?

由 老子叫甜甜 提交于 2021-01-28 03:47:13
问题 I made a Python script that does OCR, and then I recycled the script and made a web app using Flask. The web app and its libraries are in a virtualenv, but the app is using the Tesseract OCR that was installed in the OS (Windows). I've been testing it from the local server. Now it is time for deployment, and I don't know how to install Tesseract in the venv or if it is possible to install it on a server. I don't know if what I'm saying makes sense, but I'm very lost and I will really

pytesseract: Can't access Image with “Image.open” “Errno 2” error

由 我的未来我决定 提交于 2021-01-27 20:32:32
问题 I'm trying to use pytesseract for the first time. I'm also not so confortable with python. I've created a new folder called python_test on my desktop. I'm on Mac. In this folder I have a test.png file and a py script : from pytesseract import image_to_string from PIL import Image print image_to_string(Image.open('test.png')) print image_to_string(Image.open('test-english.jpg'), lang='eng') So from my terminal, I'm going into the python_test folder then I'm running python read.py then I have

Disable dictionary-assisted OCR in tesseract C++ API

由 给你一囗甜甜゛ 提交于 2021-01-27 15:59:22
问题 I have an application where technical datasheets are OCR'd using the tesseract API. I initialize it like this: tesseract::TessBaseAPI tess; tess.Init(NULL, "eng", tesseract::OEM_TESSERACT_ONLY); However, even after using custom whitelists like this tess.SetVariable("tessedit_char_blacklist", ""); tess.SetVariable("tessedit_char_whitelist", myWhitelist); some datasheet entries are recognized wrongly, for example PA3 is recognized as FAB . How can I disable the dictionary-assisted OCR, i.e. .

Changing image DPI for usage with tesseract

由 折月煮酒 提交于 2021-01-27 05:28:34
问题 I am working on a project to recognize text in Business Cards and map them to appropriate fields.I am using opencv for image processing.I need to feed the preprocessed image to Tesseract-OCR engine for text recognition.This link states that images should have atleast a DPI of 300.My image pixel size is 2560x1536 with 72 DPI. How to increase the DPI to 300? It is also said that it is beneficial to resize image.How to resize my image optimally for good OCR results Tesseract works best on images

Changing image DPI for usage with tesseract

由 北城余情 提交于 2021-01-27 05:28:33
问题 I am working on a project to recognize text in Business Cards and map them to appropriate fields.I am using opencv for image processing.I need to feed the preprocessed image to Tesseract-OCR engine for text recognition.This link states that images should have atleast a DPI of 300.My image pixel size is 2560x1536 with 72 DPI. How to increase the DPI to 300? It is also said that it is beneficial to resize image.How to resize my image optimally for good OCR results Tesseract works best on images

Tesseract OCR won't recognize division symbol “÷”

由 戏子无情 提交于 2021-01-21 07:21:31
问题 I am using Tesseract in iOS 8 for an OCR based app but it incorrectly converts the division "÷" symbol in the image to a plus "+" sign. For example, this image always converts to the text string "8+4+4". It should be "8+4÷4". I've tried using different trained data language files "eng+equ", "ita", adding "÷" to the whitelist, setting the ocr_engine variable to cube, converting image to grayscale or black & white, upsizing the image by 2 and 4 times. Everything I've tried always returns a plus

Tesseract OCR won't recognize division symbol “÷”

由 北战南征 提交于 2021-01-21 07:21:08
问题 I am using Tesseract in iOS 8 for an OCR based app but it incorrectly converts the division "÷" symbol in the image to a plus "+" sign. For example, this image always converts to the text string "8+4+4". It should be "8+4÷4". I've tried using different trained data language files "eng+equ", "ita", adding "÷" to the whitelist, setting the ocr_engine variable to cube, converting image to grayscale or black & white, upsizing the image by 2 and 4 times. Everything I've tried always returns a plus

How to find parameters supported in Tesseract OCR config file

由 半城伤御伤魂 提交于 2021-01-20 17:52:45
问题 I want to know what parameters the config file used by Tesseract OCR accepts, how to write a config file, etc. I can't find any documentation about this on their site. How can I determine what parameters are supported, and what they mean? 回答1: I found these instructions in the link below. They are about writing the config file and where to place it: config file is simple text file without BOM and with Unix end-of-line mark (on Windows you can use some advanced text editor e.g. Notepad++ to

How to find parameters supported in Tesseract OCR config file

由 柔情痞子 提交于 2021-01-20 17:52:04
问题 I want to know what parameters the config file used by Tesseract OCR accepts, how to write a config file, etc. I can't find any documentation about this on their site. How can I determine what parameters are supported, and what they mean? 回答1: I found these instructions in the link below. They are about writing the config file and where to place it: config file is simple text file without BOM and with Unix end-of-line mark (on Windows you can use some advanced text editor e.g. Notepad++ to

Pyhthon爬虫其之验证码识别

由 大兔子大兔子 提交于 2021-01-12 04:20:16
背景 　　现在的登录系统几乎都是带验证手段的，至于验证的手段也是五花八门，当然用的最多的还是验证码。不过纯粹验证码识已经是很落后的东西了，现在比较多见的是滑动验证，滑动拼图验证（这个还能往里面加广告）、点击图片特定位置确认（同样能放广告），再或者谷歌的No-CAPTCHA。总之纯粹的验证码效果不好，成本也不如一众新型验证码，迟早是要被全部淘汰的，但现在仍然有很多地方在使用传统的图片验证码。所以提到自动模拟登录，验证码识别肯定也是需要进行研究的。 　　 思路 　　由于我此前并没有接触过验证码识别的相关知识，所以在开工前在网上查找了大量的资料，个人觉得对我最有帮助的三篇附在文章最后。 　　在翻阅了大量的博客、文章后我采用的识别方法为pytesser中的image_to_string函数。 　　起先是打算按照某篇文章的介绍，使用libSVM进行人工网络识别，但在完成了图片处理后，我发现使用pytesser进行识别的成功率已经达到了8成以上，便没有继续研究下去（因为我懒…） 　　验证码是别的流程大概是这样的：　　 　　 1. 获取验证码图片 2. 二值化图片（使图片只有黑白两种像素） 3. 去噪、去干扰线 4. 修正扭曲、变形 5. 分割字符（视识别手段而定） 6. 识别 　　其中的去噪和修正并没有严格的先后顺序，怎么办效果好就怎么办。 　　由于我校教务处的验证码没有扭曲变形
订阅 tesseract