new BarcodeSvmDetectorSettings()

Properties

static

HighPerformance

High performance detection preset.

Default for {@code QualitySettings.PresetType.HighPerformance}

static

HighQuality

High quality detection preset.

Default for {@code QualitySettings.PresetType.HighQualityDetection} and {@code QualitySettings.PresetType.HighQuality}

static

MaxQuality

Max quality detection preset.

Default for {@code QualitySettings.PresetType.MaxQualityDetection} and {@code QualitySettings.PresetType.MaxBarCodes}

static

NormalQuality

Normal quality detection preset.

Default for {@code QualitySettings.PresetType.NormalQuality}

Methods

static

getHighPerformance()

High performance detection preset.

Default for QualitySettings.PresetType.HighPerformance

static

getHighQuality()

High quality detection preset.

Default for QualitySettings.PresetType.HighQualityDetection and QualitySettings.PresetType.HighQuality

static

getMaxQuality()

Max quality detection preset.

Default for QualitySettings.PresetType.MaxQualityDetection and QualitySettings.PresetType.MaxBarCodes

static

getNormalQuality()

Normal quality detection preset.

Default for QualitySettings.PresetType.NormalQuality

getMedianFilterWindowSize()

Window size for median smoothing.

Typical values are 3 or 4. 0 means no median smoothing.
Default value is 0.
Median filter window size must be between [0, 10]

getRegionLikelihoodThresholdPercent()

Sets threshold for detected regions that may contain barcodes.

Value 0.7 means that bottom 70% of possible regions are filtered out and not processed further.
Region likelihood threshold must be between [0.05, 0.9]
Use high values for clear images with few barcodes.
Use low values for images with many barcodes or for noisy images.
Low value may lead to a bigger recognition time.

getScanWindowSizes()

Scan window sizes in pixels.

Allowed sizes are 10, 15, 20, 25, 30.
Scanning with small window size takes more time and provides more accuracy but may fail in detecting very big barcodes.
Combining of several window sizes can improve detection quality.

getSimilarityCoef()

Similarity coefficient depends on how homogeneous barcodes are.

Use high value for for clear barcodes.
Use low values to detect barcodes that ara partly damaged or not lighten evenly.
Similarity coefficient must be between [0.5, 0.9]

getSkipDiagonalSearch()

Allows detector to skip search for diagonal barcodes.

Setting it to false will increase detection time but allow to find diagonal barcodes that can be missed otherwise.
Enabling of diagonal search leads to a bigger detection time.

setMedianFilterWindowSize()

Window size for median smoothing.

Typical values are 3 or 4. 0 means no median smoothing.
Default value is 0.
Median filter window size must be between [0, 10]

setRegionLikelihoodThresholdPercent()

Sets threshold for detected regions that may contain barcodes.

Value 0.7 means that bottom 70% of possible regions are filtered out and not processed further.
Region likelihood threshold must be between [0.05, 0.9]
Use high values for clear images with few barcodes.
Use low values for images with many barcodes or for noisy images.
Low value may lead to a bigger recognition time.

setScanWindowSizes()

Scan window sizes in pixels.

Allowed sizes are 10, 15, 20, 25, 30.
Scanning with small window size takes more time and provides more accuracy but may fail in detecting very big barcodes.
Combining of several window sizes can improve detection quality.

setSimilarityCoef()

Similarity coefficient depends on how homogeneous barcodes are.

Use high value for for clear barcodes.
Use low values to detect barcodes that ara partly damaged or not lighten evenly.
Similarity coefficient must be between [0.5, 0.9]

setSkipDiagonalSearch()

Allows detector to skip search for diagonal barcodes.

Setting it to false will increase detection time but allow to find diagonal barcodes that can be missed otherwise.
Enabling of diagonal search leads to a bigger detection time.