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

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

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ByteScout-Data-Extraction-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# with ByteScout Data Extraction Suite

This code in C# shows how to read text from noisy image with PDF extractor SDK with this how to tutorial

Quickly learn how to read text from noisy image with PDF extractor SDK in C# with this sample source code. ByteScout Data Extraction Suite: the bundle that includes three SDK tools for data extraction from PDF, scans, images and from spreadsheets: PDF Extractor SDK, Data Extraction SDK, Barcode Reader SDK. It can read text from noisy image with PDF extractor SDK in C#.

The following code snippet for ByteScout Data Extraction Suite works best when you need to quickly read text from noisy image with PDF extractor SDK in your C# application. Follow the instructions from scratch to work and copy the C# code. Further improvement of the code will make it more robust.

ByteScout Data Extraction Suite free trial version is available on our website. C# and other programming languages are supported.

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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();
        }
    }
}