ByteScout Premium Suite – VB.NET – Read text from noisy image with pdf extractor sdk

Home
/
Articles
/
ByteScout Premium Suite – VB.NET – Read text from noisy image with pdf extractor sdk

printable version:
ByteScout-Premium-Suite-VB-NET-Read-text-from-noisy-image-with-pdf-extractor-sdk.pdf

How to read text from noisy image with pdf extractor sdk in VB.NET with ByteScout Premium Suite

If you want to learn more then this tutorial will show how to read text from noisy image with pdf extractor sdk in VB.NET

This sample source code below will display you how to read text from noisy image with pdf extractor sdk in VB.NET. ByteScout Premium Suite is the set that includes 12 SDK products from ByteScout including tools and components for PDF, barcodes, spreadsheets, screen video recording. It can read text from noisy image with pdf extractor sdk in VB.NET.

Want to quickly learn? This fast application programming interfaces of ByteScout Premium Suite for VB.NET plus the guidelines and the code below will help you quickly learn how to read text from noisy image with pdf extractor sdk. IF you want to implement the functionality, just copy and paste this code for VB.NET below into your code editor with your app, compile and run your application. Want to see how it works with your data then code testing will allow the function to be tested and work properly.

The trial version of ByteScout Premium Suite can be downloaded for free from our website. It also includes source code samples for VB.NET and other programming languages.

On-demand (REST Web API) version:
Web API (on-demand version)

On-premise offline SDK for Windows:
60 Day Free Trial (on-premise)

Program.vb

      Imports Bytescout.PDFExtractor

Module Program

    Sub Main()

        Try

            Using extractor As New TextExtractor()

                ' Load noisy image document
                extractor.LoadDocumentFromFile("sample.png")

                ' Set the font repairing OCR mode 
                extractor.OCRMode = OCRMode.TextFromImagesAndVectorsAndRepairedFonts

                ' Set the location of OCR language data files
                extractor.OCRLanguageDataFolder = "c:\Program Files\Bytescout PDF Extractor SDK\ocrdata\"

                ' Set OCR language
                extractor.OCRLanguage = "eng" ' "eng" For english, "deu" For German, "fra" For French, "spa" For Spanish etc - according To files In "ocrdata" folder
                ' Find more language files at https://github.com/bytescout/ocrdata

                ' Set PDF document rendering resolution
                extractor.OCRResolution = 300

                ' You can also apply various preprocessing filters
                ' to improve the recognition on low-quality scans.

                Console.WriteLine("Please wait while PDF Extractor SDK is processing noisy image to read data...")

                ' Automatically deskew skewed scans
                extractor.OCRImagePreprocessingFilters.AddDeskew()

                ' Remove vertical Or horizontal lines (sometimes helps to avoid OCR engine's page segmentation errors)
                ' extractor.OCRImagePreprocessingFilters.AddVerticalLinesRemover();
                ' extractor.OCRImagePreprocessingFilters.AddHorizontalLinesRemover();

                ' Repair broken letters
                extractor.OCRImagePreprocessingFilters.AddDilate()

                ' Remove noise
                extractor.OCRImagePreprocessingFilters.AddMedian()

                ' Apply Gamma Correction
                extractor.OCRImagePreprocessingFilters.AddGammaCorrection()

                ' Add Contrast
                ' extractor.OCRImagePreprocessingFilters.AddContrast(20)

                ' (!) You can use New OCRAnalyser class to find an optimal set of image preprocessing 
                ' filters for your specific document.
                ' See "OCR Analyser" example.

                ' Read all text
                Dim allText = extractor.GetText()

                Console.Clear()
                Console.WriteLine("Extracted Text: ")
                Console.WriteLine(allText)

            End Using

        Catch ex As Exception
            Console.Clear()
            Console.WriteLine("Exception: " + ex.Message)
        End Try

        Console.WriteLine("Press any key to exit...")
        Console.ReadLine()

    End Sub

End Module