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Aspose.OCR-for-Java | Aspose.OCR for Java Examples and Sample Projects | Computer Vision library

 by   aspose-ocr Java Version: Aspose.OCR_Java_for_IntelliJ_IDEA(Maven)-v1.0.0.0 License: MIT

 by   aspose-ocr Java Version: Aspose.OCR_Java_for_IntelliJ_IDEA(Maven)-v1.0.0.0 License: MIT

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kandi X-RAY | Aspose.OCR-for-Java Summary

Aspose.OCR-for-Java is a Java library typically used in Artificial Intelligence, Computer Vision applications. Aspose.OCR-for-Java has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Aspose.OCR-for-Java build file is not available. You can download it from GitHub.
Aspose.OCR for Java is a character and optical mark recognition API that allows developers to add OCR functionality in their applications. It provides a simple set of classes for controlling character recognition.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Aspose.OCR-for-Java has a low active ecosystem.
  • It has 24 star(s) with 28 fork(s). There are 16 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 2 open issues and 0 have been closed. On average issues are closed in 1477 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Aspose.OCR-for-Java is Aspose.OCR_Java_for_IntelliJ_IDEA(Maven)-v1.0.0.0
Aspose.OCR-for-Java Support
Best in #Computer Vision
Average in #Computer Vision
Aspose.OCR-for-Java Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • Aspose.OCR-for-Java has no bugs reported.
Aspose.OCR-for-Java Quality
Best in #Computer Vision
Average in #Computer Vision
Aspose.OCR-for-Java Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

  • Aspose.OCR-for-Java has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Aspose.OCR-for-Java Security
Best in #Computer Vision
Average in #Computer Vision
Aspose.OCR-for-Java Security
Best in #Computer Vision
Average in #Computer Vision

license License

  • Aspose.OCR-for-Java is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
Aspose.OCR-for-Java License
Best in #Computer Vision
Average in #Computer Vision
Aspose.OCR-for-Java License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • Aspose.OCR-for-Java releases are available to install and integrate.
  • Aspose.OCR-for-Java has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions, examples and code snippets are available.
Aspose.OCR-for-Java Reuse
Best in #Computer Vision
Average in #Computer Vision
Aspose.OCR-for-Java Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • Initialize the components .
    • Adds the dependencies in the project .
      • Creates the example .
        • Prints a result to standard out
          • Configure the project .
            • Get the main component .
              • Run or apply a file template
                • Update repository .
                  • Checks if an example repository is available and updates the repository .
                    • Demonstrates how to run on an ontology

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      Aspose.OCR-for-Java Key Features

                      Aspose.OCR for Java Examples and Sample Projects

                      Aspose.OCR-for-Java Examples and Code Snippets

                      See all related Code Snippets

                      Extract Text from Specific Areas on Image

                      copy iconCopydownload iconDownload
                      // create API instance
                      AsposeOCR api = new AsposeOCR();
                      // prepare rectangles with texts.
                      ArrayList rectArray = new ArrayList();
                      rectArray.add(new Rectangle(138, 352, 2033, 537));
                      rectArray.add(new Rectangle(147, 890, 2033, 1157));
                      String result = api.RecognizePage("template.png", rectArray);
                      
                      System.out.println("Result with rect: " + result);
                      

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on Computer Vision
                      • Image similarity in swift
                      • When using pandas_profiling: "ModuleNotFoundError: No module named 'visions.application'"
                      • Classify handwritten text using Google Cloud Vision
                      • cv2 findChessboardCorners does not detect corners
                      • Fastest way to get the RGB average inside of a non-rectangular contour in the CMSampleBuffer
                      • UIViewController can't override method from it's superclass
                      • X and Y-axis swapped in Vision Framework Swift
                      • Swift's Vision framework not recognizing Japanese characters
                      • Boxing large objects in image containing both large and small objects of similar color and in high density from a picture
                      • Create a LabVIEW IMAQ image from a binary buffer/file with and without NI Vision
                      Trending Discussions on Computer Vision

                      QUESTION

                      Image similarity in swift

                      Asked 2022-Mar-25 at 11:42

                      The swift vision similarity feature is able to assign a number to the variance between 2 images. Where 0 variance between the images, means the images are the same. As the number increases this that there is more and more variance between the images.

                      What I am trying to do is turn this into a percentage of similarity. So one image is for example 80% similar to the other image. Any ideas how I could arrange the logic to accomplish this:

                      import UIKit
                      import Vision
                      func featureprintObservationForImage(atURL url: URL) -> VNFeaturePrintObservation? {
                      let requestHandler = VNImageRequestHandler(url: url, options: [:])
                      let request = VNGenerateImageFeaturePrintRequest()
                      do {
                        try requestHandler.perform([request])
                        return request.results?.first as? VNFeaturePrintObservation
                      } catch {
                        print("Vision error: \(error)")
                        return nil
                      }
                        }
                       let apple1 = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"apple1", withExtension: "jpg")!)
                      let apple2 = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"apple2", withExtension: "jpg")!)
                      let pear = featureprintObservationForImage(atURL: Bundle.main.url(forResource:"pear", withExtension: "jpg")!)
                      var distance = Float(0)
                      try apple1!.computeDistance(&distance, to: apple2!)
                      var distance2 = Float(0)
                      try apple1!.computeDistance(&distance2, to: pear!)
                      

                      ANSWER

                      Answered 2022-Mar-25 at 10:26

                      It depends on how you want to scale it. If you just want the percentage you could just use Float.greatestFiniteMagnitude as the maximum value.

                      1-(distance/Float.greatestFiniteMagnitude)*100
                      

                      A better solution would probably be to set a lower ceiling and everything above that ceiling would just be 0% similarity.

                      1-(min(distance, 10)/10)*100
                      

                      Here the artificial ceiling would be 10, but it can be any arbitrary number.

                      Source https://stackoverflow.com/questions/71615277

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install Aspose.OCR-for-Java

                      Aspose hosts all Java APIs at the Aspose Repository. You can easily use Aspose.OCR for Java API directly in your Maven projects with simple configurations. For the detailed instructions please visit Installing Aspose.OCR for Java from Maven Repository documentation page.

                      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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