Barcode Removal

The 'Barcode Detection Settings' property allows you to select which barcode symbologies to detect and to fine-tune the detection process for your specific documents.

• Use this property to enable or disable detection of 1D, 2D, or postal barcodes as needed.
• Adjust detection parameters to improve accuracy for your document layouts or barcode types.
• For example, you may want to restrict detection to only QR codes or Data Matrix codes if those are the only types present in your workflow.

Example

To detect only QR codes and Code 128 barcodes, configure the symbologies in 'Barcode Detection Settings' accordingly.

For more information on available options, see the documentation for Barcode Detection.

When 'Remove Regions' is enabled, Barcode Removal will also mask and remove regions that resemble barcodes but could not be successfully decoded by the detection engine.

• This is useful for eliminating barcode-like noise, damaged barcodes, or other visual artifacts that may interfere with OCR or data extraction.
• If disabled, only successfully decoded barcode regions will be removed.

Example

Enable this property if your documents contain barcode-like marks or damaged barcodes that should be removed even if they cannot be read.

The 'Border Expand' property controls how much the mask is expanded beyond the detected barcode bounds.

• Use this property to ensure the entire barcode, including any quiet zone, is fully masked and removed.
• Specify the value in logical units such as 1mm, 5px, 0.1in, etc.
• Increasing this value can help ensure that no barcode remnants remain, but setting it too high may remove nearby content.

Example

To expand the mask by 2 millimeters around each detected barcode, set this property to 2mm.

Adjust as needed based on the size and placement of barcodes in your documents.

Can be one of the following types:

The 'Dropout Method' property determines the technique used to remove or replace regions of the image identified by the feature mask. This allows you to control the visual result of the dropout operation, depending on your processing goals.

Common dropout methods include:

• Filling masked regions with a solid color (such as white or the detected background color).
• Replacing masked regions with interpolated content from surrounding pixels.
• Applying custom fill logic as defined by the selected Dropout Method.

Choosing the appropriate dropout method is important for maintaining the readability and appearance of the processed image. For example, filling with white may be suitable for removing background noise, while interpolation may be preferred when removing lines or halftones from text regions.

Example: To remove halftone patterns and fill the resulting regions with the detected background color, select the 'Background Fill' option from the 'Dropout Method' dropdown.

Review the diagnostic images generated in diagnostic mode to verify that the selected method produces the desired effect on your sample images.

The 'Binarization Settings' property determines the thresholding method and parameters used to create the binarized image that serves as the basis for feature detection in Binary Dropout commands.

Binarization is a critical preprocessing step: it transforms the input image into an 8-bit black and white version, making features such as barcodes, halftones, or lines more distinct and easier to detect.

Configuration Guidance

• Select the thresholding method using the 'Method' property within 'Binarization Settings'.
• Adjust additional parameters such as threshold value, window size, kernel type, and adjustment as needed for your document type.
• For most standard documents, 'Auto' or 'Adaptive' methods provide the best results.
• For documents with variable backgrounds or lighting, use 'Adaptive' or 'Dynamic' and tune the window size and kernel type.

Notes

• The quality of the binarized image directly affects the accuracy of feature detection and dropout.
• Review the diagnostic output to ensure that the features you wish to remove are clearly visible in the binarized image.

The 'Command Type Name' property shows the user-friendly name of the IP Command as it appears in the Grooper UI. This helps users identify which command is being configured or executed, especially when working with IP Profiles containing multiple commands.

This property is read-only and is automatically set based on the command's type.

The 'Supported Pixel Formats' property lists the image pixel formats that the IP Command can process. If an image does not match one of these formats, the command will be skipped for that image.

• By default, all pixel formats are supported unless a derived command restricts this list.
• Example formats include Pixel8bppGrayscale, Pixel24bppBgr, and Pixel1bppIndexed.

Use this property to verify compatibility when building IP Profiles or troubleshooting why a command did not execute.