Recognition Barcode Quality and Deconvolution Modes

Read Barcodes Online: You can check the quality of Aspose.BarCode recognition and view the results online.

Overview

Aspose.BarCode for JavaScript via C++ offers special modes that utilize advanced algorithms to recognize barcode elements even when dealing with low-quality barcodes or images. The BarcodeQuality mode improves recognition for barcodes of varying quality by enabling specific recognition methods. Additionally, Deconvolution allows the engine to apply image preprocessing techniques that enhance the quality of images before barcode recognition. Both of these methods prioritize recognition accuracy over processing speed.

If you need any clarifications, feel free to reach out to Aspose Technical Support: ask your questions at Aspose.Barcode Forum or contact Aspose Paid Support Helpdesk.

Barcode Quality Mode

The BarcodeQuality property allows you to set the recognition method based on the barcode’s quality. Lower-quality barcodes require more complex recognition processes, which can result in slower performance but better accuracy. The mode options are as follows:

Barcode Quality Mode	Description
High	Enables recognition methods optimized for high-quality barcodes. This is the fastest mode but may not be sufficient for lower-quality barcodes.
Normal	Uses standard recognition methods suitable for barcodes of common or normal quality. This is the default mode for most barcodes.
Low	Applies advanced recognition methods tailored for low-quality barcodes. This is the slowest mode but provides the highest accuracy for damaged or difficult-to-read barcodes.

Example Scenario:

High mode is ideal for clear, well-printed barcodes with minimal distortion.
Normal mode is suitable for barcodes that are in good condition but may have minor imperfections.
Low mode is best used when working with barcodes printed on damaged surfaces or images with low resolution and high noise.

Impact on Performance:

Selecting higher-quality recognition modes may slow down the processing speed but increases the likelihood of successfully decoding challenging barcodes. Choosing High mode optimizes for speed, while Low mode maximizes accuracy at the cost of performance.

Deconvolution Mode

The Deconvolution mode in Aspose.BarCode for JavaScript via C++ allows you to improve image quality by applying deconvolution techniques. Deconvolution restores an image that has been blurred or distorted during its capture, such as through camera motion or focus issues. Since the precise nature of the distortion cannot always be determined, commonly known methods such as sharp and mathematical morphology are applied.

Deconvolution algorithms can be computationally intensive and may slow down barcode recognition. The available deconvolution modes are:

Deconvolution Mode	Description
Fast	Utilizes quick deconvolution algorithms suitable for high-quality images without significant distortions. Offers a balance between performance and quality.
Normal	Applies moderate deconvolution methods for images with light distortions, such as slight noise or blur. This mode balances performance and the enhancement of image quality.
Slow	Implements intensive deconvolution processes for images with severe distortions, like significant blur or noise. Provides the highest quality improvement but impacts processing speed.

Using Barcode Quality and Deconvolution Modes

To optimize the recognition quality of barcodes, the BarcodeQuality and Deconvolution modes can be combined strategically. The following table illustrates the impact of different combinations of BarcodeQuality and Deconvolution settings on the number of recognized barcodes:

Barcode Quality	Deconvolution	Recognized barcodes
High	Fast	4
Normal	Normal	6
Low	Normal	9
Normal	Slow	7
Low	Slow	10

Explanation of the Results:

High + Fast: Best suited for high-quality images, where minimal enhancement is needed. Recognizes fewer barcodes due to the limited deconvolution scope.
Normal + Normal: Offers a balanced approach with moderate image preprocessing for typical image conditions.
Low + Normal: Suitable for images that have more pronounced distortions. Provides good recognition results with normal deconvolution.
Normal + Slow: Enhances images with heavier distortions, but with a reduced performance speed.
Low + Slow: Delivers the highest recognition accuracy, ideal for images with severe distortion but at the cost of slower processing.

These settings allow you to fine-tune the barcode recognition engine based on your image quality and processing needs.

How to get BarCodeInstance

// recognize image with BarcodeQualityMode High, DeconvolutionMode Fast
console.log("BarcodeQualityMode: High, DeconvolutionMode: Fast");
var reader = new BarCodeInstance.BarCodeReader(`${path}manybarcodes_quality_deconvolution.png`, "Code128,Code39Extended,Planet,QR,MicroQR,DataMatrix");
reader.QualitySettings.BarcodeQuality = BarCodeInstance.BarcodeQualityMode.High;
reader.QualitySettings.Deconvolution = BarCodeInstance.DeconvolutionMode.Fast;
reader.ReadBarCodes();
for (var i = 0; i < reader.FoundCount; i++) {
    const result = reader.FoundBarCodes(i);
    console.log(`${result.CodeType}: ${result.CodeText}`);
}

// recognize image with BarcodeQualityMode Normal, DeconvolutionMode Normal
console.log("BarcodeQualityMode: Normal, DeconvolutionMode: Normal");
var reader = new BarCodeInstance.BarCodeReader(`${path}manybarcodes_quality_deconvolution.png`, "Code128,Code39Extended,Planet,QR,MicroQR,DataMatrix");
reader.QualitySettings.BarcodeQuality = BarCodeInstance.BarcodeQualityMode.Normal;
reader.QualitySettings.Deconvolution = BarCodeInstance.DeconvolutionMode.Normal;
reader.ReadBarCodes();
for (var i = 0; i < reader.FoundCount; i++) {
    const result = reader.FoundBarCodes(i);
    console.log(`${result.CodeType}: ${result.CodeText}`);
}

// recognize image with BarcodeQualityMode Low, DeconvolutionMode Normal
console.log("BarcodeQualityMode: Low, DeconvolutionMode: Normal");
var reader = new BarCodeInstance.BarCodeReader(`${path}manybarcodes_quality_deconvolution.png`, "Code128,Code39Extended,Planet,QR,MicroQR,DataMatrix");
reader.QualitySettings.BarcodeQuality = BarCodeInstance.BarcodeQualityMode.Low;
reader.QualitySettings.Deconvolution = BarCodeInstance.DeconvolutionMode.Normal;
reader.ReadBarCodes();
for (var i = 0; i < reader.FoundCount; i++) {
    const result = reader.FoundBarCodes(i);
    console.log(`${result.CodeType}: ${result.CodeText}`);
}

// recognize image with BarcodeQualityMode Normal, DeconvolutionMode Slow
console.log("BarcodeQualityMode: Normal, DeconvolutionMode: Slow");
var reader = new BarCodeInstance.BarCodeReader(`${path}manybarcodes_quality_deconvolution.png`, "Code128,Code39Extended,Planet,QR,MicroQR,DataMatrix");
reader.QualitySettings.BarcodeQuality = BarCodeInstance.BarcodeQualityMode.Normal;
reader.QualitySettings.Deconvolution = BarCodeInstance.DeconvolutionMode.Slow;
reader.ReadBarCodes();
for (var i = 0; i < reader.FoundCount; i++) {
    const result = reader.FoundBarCodes(i);
    console.log(`${result.CodeType}: ${result.CodeText}`);
}

// recognize image with BarcodeQualityMode Low, DeconvolutionMode Slow
console.log("BarcodeQualityMode: Low, DeconvolutionMode: Slow");
var reader = new BarCodeInstance.BarCodeReader(`${path}manybarcodes_quality_deconvolution.png`, "Code128,Code39Extended,Planet,QR,MicroQR,DataMatrix");
reader.QualitySettings.BarcodeQuality = BarCodeInstance.BarcodeQualityMode.Low;
reader.QualitySettings.Deconvolution = BarCodeInstance.DeconvolutionMode.Slow;
reader.ReadBarCodes();
for (var i = 0; i < reader.FoundCount; i++) {
    const result = reader.FoundBarCodes(i);
    console.log(`${result.CodeType}: ${result.CodeText}`);
}

reader.delete();

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