Detects potential barcode candidates in an image.
public class FindBarcodeCandidateAreasCommand : RasterCommand
public class FindBarcodeCandidateAreasCommand
extends RasterCommand
public:
ref class FindBarcodeCandidateAreasCommand : RasterCommand
class FindBarcodeCandidateAreasCommand(RasterCommand):
FindBarcodeCandidateAreasCommand is useful on images that have a barcode of poor quality and returns the candidate barcode bounds and confidence.
Another benefit with using FindBarcodeCandidateAreasCommand is a boost up in speed by locating potential barcode areas. To achieve this, use the bounds of the candidate barcode to pass to the BarcodeReader on the entire image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void FindBarcodeCandidateAreasCommandExample()
{
// Initialize codecs
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "barcode1.tif"));
// Create command and set parameters for barcodes
FindBarcodeCandidateAreasCommand command = new FindBarcodeCandidateAreasCommand();
command.UnitsType = BarcodeCandidateAreasUnitsType.Pixels;
command.BackgroundColor = new RasterColor(255, 255, 255);
command.BarcodeColor = new RasterColor(0, 0, 0);
command.MinimumBarcodeDimension = 10;
// Run the command
command.Run(image);
// First candidate area returned from running command
BarcodeCandidateArea barcodeCandidateArea = command.CandidateAreas[0];
codecs.Dispose();
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document
Your email has been sent to support! Someone should be in touch! If your matter is urgent please come back into chat.
Chat Hours:
Monday - Friday, 8:30am to 6pm ET
Thank you for your feedback!
Please fill out the form again to start a new chat.
All agents are currently offline.
Chat Hours:
Monday - Friday
8:30AM - 6PM EST
To contact us please fill out this form and we will contact you via email.