J4L-AztecCode Vision for .NET

• Introduction
• Installation
• Examples

Installation

J4L AztecCode Vision is a .NET component which can read (scan) Aztec Code barcodes images. It support the following features:

• Finding all barcodes in large images (for example in a scanned page or document)
• Supports binary and text encoding

The requirements are:

• .NET 1.0 or later

Known limitations are:

• Best result are achieved with black barcodes on white background.
• Shadowed or blurred barcodes can be unreadable.
• Barcodes can be rotated but better results will be achieved in the upright position.

Installation

In order to use the component you only need to add rvisionAZ*.dll to your project.

Examples

The delivered ZIP file includes a sample applicaion (AztecCodeSample*.exe) that scans all images in the "azimages" subdirectory and displays the result in the standard output (MSDOS console).

The use of the component is very simple. You must follow these steps:

1. Create a AztecCodeReader instance:
   
   [c#]
   AztecCodeReader reader=new AztecCodeReader();
   
   
   
2. Load your image into an Image class (format must be PixelFormat.Format24bppRgb). The application AztecCodeSample.cs includes a method called loadImage() you can use for this purpose.
   
   [c#]
   Image image=loadImage("myFile.gif"); // see loadImage method in AztecCodeSample.cs
   
   
3. Create a RImage instance and call the read() method of the AztecCodeReader
   
   [c#]
   AztecCodeData[] barcodes=reader.read(new RImage(im));
   
   
4. Read the result. The AztecCodeData objects contain the following information: Value ( of the barcode) and position ( x , y).
   
   If no barcode has been found the array returned by read() will be empty.

You can optimize the scanning process by setting some system properties:

• J4L.Vision.Util.SystemProperties.setProperty("maxArea","90000");. Ignore objects larger than 90000 pixels.
  
  

• J4L.Vision.Util.SystemProperties.setProperty("minArea","30");. Ignore objects smaller than 30 pixels.

Depending on the size of the object and the image resolution you use, you can modify these values to speed up the scanning process.