Recognition Quality and Speed

This documentation part provides a detailed description of various recognition quality settings that can be customized to optimize the accuracy and speed of barcode reading in Aspose.BarCode for Python via Java.

Article	Description
Recognition Options and Presets	Gives an overview of available presets and options to optimize barcode reading quality and speed
Recognition Quality Special Cases	Describes special quality settings and median filtering options that can be used to improve recognition results in cases of various distortions and peculiarities in barcode images, such as Gaussian noise, white spots, colored barcodes on a colored background, inverted images, visual artifacts, erased bars, severely corrupted QR Codes, industrial DataMatrix barcodes, and others