ocr | 易学教程

Setting environment variable TESSDATA_PREFIX in Tomcat

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问题 We are using Tesseract OCR Java library called Tess4J. It works fine if run as a standalone application. It needs a variable called TESSDATA_PREFIX which contains the tessdata config and other charset related files. It also runs fine with embedded Tomcat 6 server in eclipse. I had set TESSDATA_PREFIX as an environment variable by using the launch configuration. But when I package everything into a WAR and drop it in deploy directory of tomcat, the environment variable does not seem to be

Binarization and Background Filtering in opencv

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问题 Shortly, I want to make the pre-processing procedures before OCR with the suggestion comes from ABBYY 's technology. There are two parts in article: Background Filtering : separate text strings from background. Adaptive Binarization : make lines and words will be correctly detected and higher recognition accuracy will be reached. And they try to impact on characters. I wonder are there any ways to achieve them by using opencv ? Any suggestions or sample codes would be appreciated. 回答1: I

图像识别ocr 等经典项目

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看到不错的资料，刚好是自己需要的方面，先收集起来。百度图像识别初赛数据集链接: https://pan.baidu.com/s/19cX6DH4fnQMd4S2_XH-l4w 密码: guc3 初赛和决赛代码 https://github.com/ypwhs/baiduyun_deeplearning_competition : 生成车牌号链接:https://pan.baidu.com/s/1EySDV4VvxhoW44MUCy5FJw 密码:kmn0 识别模型代码链接:https://pan.baidu.com/s/1D7zavSJfd-7ZPbFz5x5f_g 密码:hbgw : 图像分类 | 深度学习PK传统机器学习 https://github.com/aleju/imgaug 效果超某度OCR：文本检测、文本识别(cnn+ctc、crnn+ctc) https://github.com/MachineLP/OCR_repo#%E4%BB%A3%E7%A0%81%E4%BD%BF%E7%94%A8 : 基于深度学习的自然场景文字检测及端到端的OCR中文文字识别 https://github.com/xiaofengShi/CHINESE-OCR : 发票编号识别、验证码识别，图像分割 https://github.com/ccccccmd/ReCapcha

Detecting space(bar) between words in a slanted font

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问题 I wrote a python script that detects alphabets encoded in an image. The script is using openCV's templateMatching to match characters/alphabets embedded in the image. The detection is working fine except for the space(spacebar) character. Here is a sample image Is there some (easy/direct)way to detect the whitespace between words using (or without using) openCV in python? 回答1: You can scan for empty space along skewed vertical lines scan whole image count font pixels per line if no pixel

PyTesseract OCR unable to read digits from a simple image

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问题 I'm trying to get PyTesseract OCR to read digits from this simple and well cropped Image, but for some reason it's just not able to do this. from PIL import Image import pytesseract as p def obtain_balance(a): im = Image.open(a) width,height = im.size a = 300*5 - 120 # print(width,height) left = 155+a top = 5 right = 360+a bottom = 120 m1 = im.crop((left, top, right, bottom)) text = p.image_to_string(m1,lang='eng',config='--psm 13 --oem 3 -c tessedit_char_whitelist=0123456789').split() print

Holistic Word Recognition algorithm in detail

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问题 Where Can I find algorithm details for holistic word recognition? I need to build a simple OCR system in hardware (FPGAs actually), and the scientific journals seems so abstract? Are there any open source (open core) codes for holistic word recognition? Thanks 回答1: For an algorithm that is quite suitable for FPGA implementation (embarrassingly parallel) you might look at: http://en.wikipedia.org/wiki/Cross-correlation It is fast, and easily implemented. The only thing is: it recognizes a

Holistic Word Recognition algorithm in detail

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Tesseract OCR Android in Windows

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问题 I've read all of questions forums and blogs about it but i still have a problem. Firstly, i ticked tess-two as a library also my project's using tess-two as a library. I downloaded Android-NDK and from my project's properties i clicked Builders and then new -> Program then i choose ndk's ndk-build file. By the way my project is Gautam Gupta's project. He'd given project. Link: https://github.com/GautamGupta/Simple-Android-OCR. When i run that project in my phone, application starts and

Tesseract OCR

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Tesseract 基本使用版本 : Tesseract OCR v5.0.0-alpha Git Hub 地址 : https://github.com/tesseract-ocr/ 语言包 : https://github.com/tesseract-ocr/tessdata 文档 : https://github.com/tesseract-ocr/docs https://stackoverflow.com/questions/44619077/pytesseract-ocr-multiple-config-options Page segmentation modes: 0 Orientation and script detection (OSD) only. 1 Automatic page segmentation with OSD. 2 Automatic page segmentation, but no OSD, or OCR. 3 Fully automatic page segmentation, but no OSD. ( Default ) 4 Assume a single column of text of variable sizes. 5 Assume a single uniform block of vertically aligned

基于百度OCR的图片文字识别

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　　先上图，有图有真相　　首先在百度开通ORC服务，目前是免费的，普通识别每天50000次免费，非常棒！百度文档: http://ai.baidu.com/docs#/OCR-API/top 　　下载百度SDK神马的就不多说了，需要包含CURL和JSON库，注意版本要求　　windows下的openssl 32位和64位一键安装包顺便分享下，自己安装太麻烦　　链接：https://pan.baidu.com/s/1HAuplB3deQGFk2eO8zC13A 　　提取码：mh34 　　CURL和JSON库就不贴出来了，网上随便都能找到，需要的朋友可以找我，我私发给你。　　接下来进入正题，贴代码： ImageRecogition.h 1 #pragma once 2 3 #include "json/json.h" 4 5 class CImageRecogition 6 { 7 public: 8 CImageRecogition(); 9 ~CImageRecogition(); 10 11 public: 12 /*accurate_basic*/ 13 Json::Value static accurate_basic(std::string szFile); 14 /*general_basic*/ 15 Json::Value static general