ocr

基于python的OCR中文字符识别——基于windows平台

北城余情 提交于 2020-02-24 15:47:53
1.安装配套环境 (1)首先安装OCR字符识别库Tesseract 下载网址:https://digi.bib.uni-mannheim.de/tesseract/ 下载下图对应的版本 下载后双击进行安装,这里因为我们要识别中文字符,所以在安装界面中需要进行额外的语言勾选,展开Additional language data 然后点击next安装即可(注意:在选择安装路径的时候不要出现中文,并且要记住这个安装路径) 接下来配置环境变量.路径添加到环境变量中 分别对用户变量PATH和系统变量Path添加刚才的安装目录 D:\toolplace\OCR\Tesseract-OCR; 这里注意各个变量之间隔开用英文的分号。 环境变量修改好之后验证下是否安装成功。打开cmd命令行工具 敲入命令: Tesseract -v 安装python环境 pip install Pillow==5.2.0 pip install pytesseract==0.2.4 pathSaveShot = “” img = Image.open(pathSaveShot) text = pytesseract.image_to_string(img, lang='chi_sim') logging.info('[截取图片的识别结果:' + text + ']') 问题: 安装之后报错 pytesseract

Identify text data in image to read mm/dd, description and amount using opencv python

送分小仙女□ 提交于 2020-02-24 11:15:07
问题 import re import cv2 import pytesseract from pytesseract import Output from PIL import Image from pytesseract import image_to_string img = cv2.imread('/home/cybermakarov/Desktop/1.Chase Bank-page-002.jpg') d = pytesseract.image_to_data(img, output_type=Output.DICT) keys = list(d.keys()) date_pattern = '^(0[1-9]|[12]|[1-9]|3[02])/' Description_pattern='([0-9]+\/[0-9]+)|([0-9]+)|([0-9\,\.]+)' n_boxes = len(d['text']) for i in range(n_boxes): if int(d['conf'][i]) > 60: if re.match(description

Identify text data in image to read mm/dd, description and amount using opencv python

此生再无相见时 提交于 2020-02-24 11:14:08
问题 import re import cv2 import pytesseract from pytesseract import Output from PIL import Image from pytesseract import image_to_string img = cv2.imread('/home/cybermakarov/Desktop/1.Chase Bank-page-002.jpg') d = pytesseract.image_to_data(img, output_type=Output.DICT) keys = list(d.keys()) date_pattern = '^(0[1-9]|[12]|[1-9]|3[02])/' Description_pattern='([0-9]+\/[0-9]+)|([0-9]+)|([0-9\,\.]+)' n_boxes = len(d['text']) for i in range(n_boxes): if int(d['conf'][i]) > 60: if re.match(description

What is the best way to extract text contained within a table in a pdf using python?

↘锁芯ラ 提交于 2020-02-23 05:33:02
问题 I'm constructing a program to extract text from a pdf, put it in a structured format, and send it off to a database. I have roughly 1,400 individual pdfs that all follow a similar format, but nuances in the verbiage and plan designs that the documents summarize make it tricky. I've played around with a couple different pdf readers in python including tabula-py and pdfminer but none of them are quite getting to what I'd like to do. Tabula reads in all of the text very well, however it pulls

ocr识别+扫描仪应用方案

一世执手 提交于 2020-02-17 23:18:19
扫描仪,这个在我们日常生活中和打印机相依为命的硬件设备。 在我们的印象中,扫描仪事实上还没有打印机的功能强大。 无可厚非,如今打印机被硬生生的套上了很多的功能。 三合一、四合一、六合一的打印机一抓一大把。 就像小时候的游戏卡带一样,无所不能。 假设把孙悟空的金箍棒给你,你也能够大闹天宫。 扫描仪在大多数人眼里,就是把须要变成电子图像的东西通过扫描仪扫一下。存储起来。 比方常见的A4纸,我们日常会接到非常多打印纸原件,合同、履历表、公文等等。 还有二代身份证、行驶证、名片等等。 把这些东西变成一副图像。看似已经攻克了存储的问题。 然后呢?难道就到此为止了么? 我要说NO。今天我们来赋予扫描仪一种全新的能力。 香烟爱上了火柴,就注定会燃烧自己。 当扫描仪遇上了OCR。会发生什么呢? OCR(Optical Character Recognition) 光学字符识别 就是把图像上的字符识别出来的一种文字识别技术。 而扫描仪正好攻克了图像採集的这一份工作,而且採集的完美。是完美哦。 採集完的图像输入到OCR的识别核心里。经过了版面的分析,图像二值化处理。 最后把想要获取的文字展如今我们面前。而这一切都是在谈笑间扫描识别一气呵成。 软件和硬件总是不能够分开。 就像我们离不开空气和水。 通俗的比喻,仅仅有板砖你是不可能盖起万丈高楼。可是有水泥和沙子的配合,发挥的空间就非常大。

How to use Microsoft OCR Library ( Microsoft.Windows.Ocr ) in an ASP.Net MVC4 Web API Project?

醉酒当歌 提交于 2020-02-17 04:14:15
问题 TL;DR: Does anyone know of a way to reference Microsoft.Windows.Ocr (/ WindowsPreview.Media.Ocr.dll ) Assembly on a server-side ASP.Net Web application like MV4 Web API and make use of the OCR Functionality in that assembly to take a photo image as input and extract the text content out of it ? If yes, please provide detailed instructions in your answer. Question Details (and what I have tried so far) I am building a web application that takes an image uploaded to the Server (via a file

How to use Microsoft OCR Library ( Microsoft.Windows.Ocr ) in an ASP.Net MVC4 Web API Project?

你离开我真会死。 提交于 2020-02-17 04:07:07
问题 TL;DR: Does anyone know of a way to reference Microsoft.Windows.Ocr (/ WindowsPreview.Media.Ocr.dll ) Assembly on a server-side ASP.Net Web application like MV4 Web API and make use of the OCR Functionality in that assembly to take a photo image as input and extract the text content out of it ? If yes, please provide detailed instructions in your answer. Question Details (and what I have tried so far) I am building a web application that takes an image uploaded to the Server (via a file

How to use Microsoft OCR Library ( Microsoft.Windows.Ocr ) in an ASP.Net MVC4 Web API Project?

坚强是说给别人听的谎言 提交于 2020-02-17 04:06:21
问题 TL;DR: Does anyone know of a way to reference Microsoft.Windows.Ocr (/ WindowsPreview.Media.Ocr.dll ) Assembly on a server-side ASP.Net Web application like MV4 Web API and make use of the OCR Functionality in that assembly to take a photo image as input and extract the text content out of it ? If yes, please provide detailed instructions in your answer. Question Details (and what I have tried so far) I am building a web application that takes an image uploaded to the Server (via a file

How to use Microsoft OCR Library ( Microsoft.Windows.Ocr ) in an ASP.Net MVC4 Web API Project?

喜你入骨 提交于 2020-02-17 04:05:15
问题 TL;DR: Does anyone know of a way to reference Microsoft.Windows.Ocr (/ WindowsPreview.Media.Ocr.dll ) Assembly on a server-side ASP.Net Web application like MV4 Web API and make use of the OCR Functionality in that assembly to take a photo image as input and extract the text content out of it ? If yes, please provide detailed instructions in your answer. Question Details (and what I have tried so far) I am building a web application that takes an image uploaded to the Server (via a file

RAC1——Clusterware概念简介1

て烟熏妆下的殇ゞ 提交于 2020-02-12 21:05:19
一 集群环境下的一些特殊问题 1.1 并发控制 在集群环境中, 关键数据通常是共享存放的,比如放在共享磁盘上。 而各个节点的对数据有相同的访问权限, 这时就必须有某种机制能够控制节点对数据的访问。 Oracle RAC 是利用DLM(Distribute Lock Management) 机制来进行多个实例间的并发控制。 1.2 健忘症(Amnesia) 集群环境配置文件不是集中存放的,而是每个节点都有一个本地副本,在集群正常运行时,用户可以在任何节点更改集群的配置,并且这种更改会自动同步到其他节点。 有一种特殊情况: 节点A 正常关闭, 在节点B上修改配置, 关闭结点B,启动结点A。 这种情况下,修改的配置文件是丢失的, 就是所谓的健忘症。 1.3 脑裂(Split Brain) 在集群中,节点间通过某种机制(心跳)了解彼此的健康状态,以确保各节点协调工作。 假设只有"心跳"出现问题, 各个节点还在正常运行, 这时,每个节点都认为其他的节点宕机了, 自己是整个集群环境中的"唯一建在者",自己应该获得整个集群的"控制权"。 在集群环境中,存储设备都是共享的, 这就意味着数据灾难, 这种情况就是"脑裂" 解决这个问题的通常办法是使用投票算法(Quorum Algorithm). 它的算法机理如下: 集群中各个节点需要心跳机制来通报彼此的"健康状态",假设每收到一个节点的"通报