ByteScout Premium Suite – C# – Read Text From Noisy Image with PDF Extractor SDK

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ByteScout Premium Suite – C# – Read Text From Noisy Image with PDF Extractor SDK

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ByteScout-Premium-Suite-C-sharp-Read-Text-From-Noisy-Image-with-PDF-Extractor-SDK.pdf

How to read text from noisy image with PDF extractor SDK in C# using ByteScout Premium Suite

How to write a robust code in C# to read text from noisy image with PDF extractor SDK with this step-by-step tutorial

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

The following code snippet for ByteScout Premium Suite works best when you need to quickly read text from noisy image with PDF extractor SDK in your C# application. This C# sample code is all you need for your app. Just copy and paste the code, add references (if needs to) and you are all set! Applying C# application mostly includes various stages of the software development so even if the functionality works please test it with your data and the production environment.

Our website gives trial version of ByteScout Premium Suite for free. It also includes documentation and source code samples.

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Program.cs

      using Bytescout.PDFExtractor;
using System;

namespace ReadTextFromNoisyImage
{
    class Program
    {
        static void Main(string[] args)
        {
            try
            {
                //Read all text from noisy image file
                using (TextExtractor extractor = 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 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
                    string allText = extractor.GetText();

                    Console.Clear();
                    Console.WriteLine("Extracted Text: \n\n" + allText);
                }
            }
            catch (Exception ex)
            {
                Console.Clear();
                Console.WriteLine("Exception: " + ex.Message);
            }

            Console.ReadLine();
        }
    }
}