BarcodeSvmDetectorSettings
Source: Recognition.
Barcode detector settings.
Properties
Methods
new BarcodeSvmDetectorSettings()
Properties
HighPerformance
High performance detection preset.
Default for {@code QualitySettings.PresetType.HighPerformance}
HighQuality
High quality detection preset.
Default for {@code QualitySettings.PresetType.HighQualityDetection} and {@code QualitySettings.PresetType.HighQuality}
MaxQuality
Max quality detection preset.
Default for {@code QualitySettings.PresetType.MaxQualityDetection} and {@code QualitySettings.PresetType.MaxBarCodes}
NormalQuality
Normal quality detection preset.
Default for {@code QualitySettings.PresetType.NormalQuality}
Methods
getHighPerformance()
High performance detection preset.
Default for QualitySettings.PresetType.HighPerformance
getHighQuality()
High quality detection preset.
Default for QualitySettings.PresetType.HighQualityDetection and QualitySettings.PresetType.HighQuality
getMaxQuality()
Max quality detection preset.
Default for QualitySettings.PresetType.MaxQualityDetection and QualitySettings.PresetType.MaxBarCodes
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.