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We regularly create and update our sample code library so you may quickly learn image preprocessing filters with barcode reader sdk and the step-by-step process in C#. ByteScout Data Extraction Suite helps with image preprocessing filters with barcode reader sdk in C#. ByteScout Data Extraction Suite is 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.
This rich and prolific sample source code in C# for ByteScout Data Extraction Suite contains various functions and options you should do calling the API to implement image preprocessing filters with barcode reader sdk. To use image preprocessing filters with barcode reader sdk in your C# project or application just copy & paste the code and then run your app! Enjoy writing a code with ready-to-use sample C# codes to add image preprocessing filters with barcode reader sdk functions using ByteScout Data Extraction Suite in C#.
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using System; using Bytescout.BarCodeReader; namespace ImagePreprocessingFilters { /// <summary> /// This exmaple demonstrates the use of image filters to improve the decoding or speed. /// </summary> class Program { static void Main() { using (Reader reader = new Reader("demo", "demo")) { // Set barcode type to find reader.BarcodeTypesToFind.Code128 = true; // WORKING WITH LOW CONTRAST BARCODE IMAGES // Add contrast adjustment for low-contrast image reader.ImagePreprocessingFilters.AddContrast(40); Console.WriteLine("Image {0}", "low-contrast-barcode.png"); FoundBarcode[] barcodes = reader.ReadFrom("low-contrast-barcode.png"); if (barcodes.Length == 0) Console.WriteLine("No barcode found!"); else foreach (FoundBarcode barcode in barcodes) Console.WriteLine("Found barcode {0} with value '{1}'", barcode.Type, barcode.Value); reader.ImagePreprocessingFilters.Clear(); Console.WriteLine(); // WORKING WITH NOISY BARCODE IMAGES // Add the median filter to lower the noise reader.ImagePreprocessingFilters.AddMedian(); Console.WriteLine("Image {0}", "noisy-barcode.png"); /* ----------------------------------------------------------------------- NOTE: We can read barcodes from specific page to increase performance. For sample please refer to "Decoding barcodes from PDF by pages" program. ----------------------------------------------------------------------- */ barcodes = reader.ReadFrom("noisy-barcode.png"); if (barcodes.Length == 0) Console.WriteLine("No barcode found!"); else foreach (FoundBarcode barcode in barcodes) Console.WriteLine("Found barcode {0} with value '{1}'", barcode.Type, barcode.Value); reader.ImagePreprocessingFilters.Clear(); Console.WriteLine(); // WORKING WITH DENSE AND ILLEGIBLE BARCODES // Add the scale filter to enlarge the barcode to make gaps between bars more distinguishable reader.ImagePreprocessingFilters.AddScale(2d); // enlarge twice Console.WriteLine("Image {0}", "too-dense-barcode.png"); barcodes = reader.ReadFrom("too-dense-barcode.png"); if (barcodes.Length == 0) Console.WriteLine("No barcode found!"); else foreach (FoundBarcode barcode in barcodes) Console.WriteLine("Found barcode {0} with value '{1}'", barcode.Type, barcode.Value); reader.ImagePreprocessingFilters.Clear(); Console.WriteLine(); // REMOVE EMPTY MARGINS FROM IMAGE TO SPEED UP THE PROCESSING // Add the crop filter to cut off empty margins from the image. // This will not improve the recognition quality but may speed up the processing // if you enabled multiple barcode types to search. reader.ImagePreprocessingFilters.AddCropDark(); Console.WriteLine("Image {0}", "barcode-with-large-margins.png"); barcodes = reader.ReadFrom("barcode-with-large-margins.png"); if (barcodes.Length == 0) Console.WriteLine("No barcode found!"); else foreach (FoundBarcode barcode in barcodes) Console.WriteLine("Found barcode {0} with value '{1}'", barcode.Type, barcode.Value); reader.ImagePreprocessingFilters.Clear(); Console.WriteLine(); } Console.WriteLine("Press any key to exit.."); Console.ReadKey(); } } }
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