ocr

Batch OCRing PDFs that haven't already been OCR'd

由 安稳与你 提交于 2019-12-31 02:34:28
问题 If I have 10,000 PDFs, some of which have been OCRed, some of which have 1 page that has been OCRed but the rest of the pages have not, how can I go through all the PDFs and only OCR the pages that haven't already been done? 回答1: This is exactly what I was looking for, I have thousands of scanned PDF files, where some were already OCR'ed and some are not. So, I combined information I found on fora and Stack Overflow, and made my own solution that does EXACTLY that, which I have summarized for

Text Recognition using ocr of Matlab

由 可紊 提交于 2019-12-30 20:28:25
问题 I am trying to do OCR of this image- This is what I am doing using ocr of MATLAB - I=imread('N.jpg'); r = ocr(I,'TextLayout','Word') But instead of getting N as Text this is what I am getting- r = ocrText with properties: Text: 'I\/ ' CharacterBoundingBoxes: [5x4 double] CharacterConfidences: [5x1 single] Words: {'I\/'} WordBoundingBoxes: [276 120 13 7] WordConfidences: 0.7718 So,basically I am getting I\/ as text.How can I fix this? 回答1: You can dilate the image with a vertical line

Text Recognition using ocr of Matlab

由 拜拜、爱过 提交于 2019-12-30 20:27:27
问题 I am trying to do OCR of this image- This is what I am doing using ocr of MATLAB - I=imread('N.jpg'); r = ocr(I,'TextLayout','Word') But instead of getting N as Text this is what I am getting- r = ocrText with properties: Text: 'I\/ ' CharacterBoundingBoxes: [5x4 double] CharacterConfidences: [5x1 single] Words: {'I\/'} WordBoundingBoxes: [276 120 13 7] WordConfidences: 0.7718 So,basically I am getting I\/ as text.How can I fix this? 回答1: You can dilate the image with a vertical line

Where to start Handwritten Recognition using Neural Network?

由 梦想的初衷 提交于 2019-12-29 18:00:17
问题 I've been trying to learn about Neural Networks for a while now, and I can understand some basic tutorials online. Now i want to develop online handwritten recognition using Neural Network. So i haven't any idea where to start? And i need a very good instruction. In finally i'm java programmer. What do you suggest I do? 回答1: Start simple with character recognition on the Unipen database. You will need to extract pertinent features out of raw trajectory data in order to form what's commonly

腾讯云OCR图片文字识别

由 走远了吗. 提交于 2019-12-28 20:56:52
一、 OCR OCR （Optical Character Recognition，光学字符识别）是指电子设备（例如扫描仪或数码相机）检查纸上打印的字符，通过检测暗、亮的模式确定其形状，然后用字符识别方法将形状翻译成计算机文字的过程； -- 来自百度 二、腾讯云OCR 基于腾讯自研的深度学习技术和海量的数据，提供卡证、票据类印刷体和手写体、自定义模板等多种场景和类型的文字识别服务。 三、接口对接 说明：基于 spring boot 的接口对接 1、添加开发的SDK <dependency> <groupId>com.qcloud</groupId> <artifactId>qcloud-image-sdk</artifactId> <version>2.3.6</version> </dependency> 2、编写工具类 注意 ：此接口对接版本有点低，现在的sdk是2.0了，不过这个工具类是可以正常食用的。2.0的sdk可以官方给出的文档 传送门 import com.qcloud.image.ImageClient; import com.qcloud.image.exception.AbstractImageException; import com.qcloud.image.request.*; import java.io.File; /** * 腾讯云Ocr文字识别 *

腾讯Ocr文字识别

由 蓝咒 提交于 2019-12-28 20:56:34
简述 上篇文章记录了百度Ocr的两种模式用法，接下来这篇文章开始记录腾讯Ocr的使用方法。腾讯Ocr的通用印刷体识别模式使用比较简单，直接接入sdk即可，但手写体的识别相对比较麻烦，需要自己post表单（也可能是能用sdk的，但我是没有找到） 通用文字识别 1.直接在Android Studio的app->build.gradle->dependencies中添加： implementation 'com.qcloud:qcloud-image-sdk:2.3.6' 2.初始化识别程序： ImageClient imageClient = new ImageClient(APPID, SecretId, SecretKey, ImageClient.NEW_DOMAIN_recognition_image_myqcloud_com); 其中APPID、SecretId、SecretKey这些和百度一样是需要去注册获取的，具体获取方式没什么难度就不详说( 点击前往腾讯AI开放平台 )。最后一个参数是服务器域名，默认使用新域名，也就是： ImageClient.NEW_DOMAIN_recognition_image_myqcloud_com 如果是老用户，修改为以下域名： ImageClient.OLD_DOMAIN_service_image_myqcloud_com 3

How to use OpenCV to remove non text areas from a business card? [closed]

由 ぃ、小莉子 提交于 2019-12-28 12:50:14
问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 7 years ago . my target is to remove any non text area from a scanned business card image but i don't know the steps to perform that using OpenCV , i have followed this steps but don't know this is the right one or not also i

How to use OpenCV to remove non text areas from a business card? [closed]

由 ∥☆過路亽．° 提交于 2019-12-28 12:46:30
问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 7 years ago . my target is to remove any non text area from a scanned business card image but i don't know the steps to perform that using OpenCV , i have followed this steps but don't know this is the right one or not also i

Apache Tika extract scanned PDF files

由 陌路散爱 提交于 2019-12-28 12:35:08
问题 i'm having some troubles using Apache TIKA (version 1.10). I got some PDF files which are just scanned pieces of paper. That means each page is just an image. My goal is to extract the text of the PDF files anyway. My tesseract is set up correctly and extracting JPG and PNG files works like a charm. The code i'm using looks like that (don't mind the missing excetion handling): public String extractText(InputStream stream) { AutoDetectParser parser = new AutoDetectParser(); BodyContentHandler

Training feedforward neural network for OCR [closed]

由 大憨熊 提交于 2019-12-28 11:46:16
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed last year . Currently I'm learning about neural networks and I'm trying to create an application that can be trained to recognize handwritten characters. For this problem I use a feed-forward neural network and it seems to work when I train it to recognize 1, 2 or 3 different characters. But
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