image-ocr | 基于tesseract程序包的ocr文本识别，用户上传截图或者源图片进行其中的文本检测与识别 | Computer Vision library

by ustbprir1005gao Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | image-ocr Summary

image-ocr is a Java library typically used in Artificial Intelligence, Computer Vision applications. image-ocr has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

基于tesseract程序包的ocr文本识别，用户上传截图或者源图片进行其中的文本检测与识别

Support

Quality

Security

License

Reuse

Support

image-ocr has a low active ecosystem.

It has 5 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

image-ocr has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image-ocr is current.

Quality

image-ocr has no bugs reported.

Security

image-ocr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

image-ocr does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

image-ocr releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed image-ocr and discovered the below as its top functions. This is intended to give you an instant insight into image-ocr implemented functionality, and help decide if they suit your requirements.

Indexes index
Index the data directory
Creates a document from a file
Get the content of the file
Simple test
Applies DCT distortion to a curve
Calculate hash of an image
Compute the distance between two strings
Main entry point
Handle request
Initializes the coefficients
Overrides superclass method to write JSONPObject
Send invoke object name
Entry point
Search for a single resource
Upload a single file
Main method
Display text image
Main method
User to view user model
Upload file
Entry point for the channel
Handle login

Get all kandi verified functions for this library.

image-ocr Key Features

No Key Features are available at this moment for image-ocr.

image-ocr Examples and Code Snippets

No Code Snippets are available at this moment for image-ocr.

Community Discussions

Trending Discussions on image-ocr

How can I distinguish a digitally-created PDF from a searchable PDF?

Why is the MuPDF MediaBox of a page smaller than a contained image?

ocr images from list of urls and store the results in spreadsheet

QUESTION

How can I distinguish a digitally-created PDF from a searchable PDF?

Asked 2020-Oct-14 at 14:50

I am currently analyzing a set of PDF files. I want to know how many of the PDF files fall in those 3 categories:

Digitally Created PDF: The text is there (copyable) and it is guaranteed to be correct as it was created directly e.g. from Word
Image-only PDF: A scanned document
Searchable PDF: A scanned document, but an OCR engine was used. The OCR engine put text "below" the image so that you can search / copy the content. As OCR is pretty good, this is correct most of the time. But it is not guaranteed to be correct.

It is easy to identify Image-only PDFs in my domain as every PDF contains text. If I cannot extract any text, it is image only. But how do I know if it is "just" a searchable PDF or if it is a digially created PDF?

By the way, it is not as simple as just looking at the producer as I have seen scanned documents where the Producer field said "Microsoft Word".

Note: As a human, it is easy. I just zoom in on the text. If I see pixels, it's "just" searchable.

Here are 3 example PDF files to test solutions:

Digitally Created PDF
Scanned PDF: Well.. not really; I used a script to create images and then put them together as a PDF. But that only means that the quality is very good. It should be very similar to a scan.
Searchable PDF

What I tried/thought about

Using the creator/producer: I see "Microsoft Word" in scanned documents. Also this would be tedious.
Embedded fonts: You can extract embedded fonts. The idea was that a scanned document would not have embedded fonts but just use the default. The idea was wrong, as one can see with the example.

...

ANSWER

Answered 2020-Aug-20 at 14:47

With PyMuPDF you can easily remove all text as is required for @ypnos' suggestion.

As an alternative, with PyMuPDF you can also check whether text is hidden in a PDF. In PDF's relevant "mini-language" this is triggered by the command 3 Tr ("text render mode", e.g. see page 402 of https://www.adobe.com/content/dam/acom/en/devnet/acrobat/pdfs/pdf_reference_1-7.pdf). So if all text is under the influence of this command, then none of it will be rendered - allowing the conclusion "this is an OCR'ed page".

Source https://stackoverflow.com/questions/63494812

QUESTION

Why is the MuPDF MediaBox of a page smaller than a contained image?

Asked 2020-Sep-04 at 08:56

For this example PDF, I did this:

...

ANSWER

Answered 2020-Sep-04 at 08:56

The image size you see is how many pixels are in the embedded JPEG image resource. That has literally zero effect on how big the image is going to be when drawn on the page. The physical size of the image on the page is entirely decided by the page content stream commands that draw the image.

Source https://stackoverflow.com/questions/63502331

QUESTION

ocr images from list of urls and store the results in spreadsheet

Asked 2017-Feb-11 at 17:52

Hello I have a list of image URLs that contain numbers and I want to OCR them and store the results in google spreadsheet I've found these google scripts to ocr images

1- https://gist.github.com/tagplus5/07dde5ca61fe8f42045d

2- https://ctrlq.org/code/20128-extract-text-from-image-ocr

But I didn't know how to create a request variable so I've replaced request variable with URL variable like this:

...

ANSWER

Answered 2017-Feb-10 at 16:24

The code is okay. V2 API is still alive. See this documentation. All you need is to enable Advanced Drive Service. In the script editor, select Resources > Advanced Google services and turn on Drive API (only v2 is selectable). Then your code actually works.

Source https://stackoverflow.com/questions/42152604

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install image-ocr

You can download it from GitHub.
You can use image-ocr like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the image-ocr component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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