Abstract: The disclosure relates to a data reading system and method for identifying and processing optical code symbols, primarily DotCode symbols. The data reading system includes an imager for obtaining an image of an item containing the DotCode symbol and a processor for analyzing the image for ultimately decoding the data from the DotCode symbol. The processor analyzes the obtained image to determine a starting pattern for the DotCode symbol and to begin building the DotCode grid from the starting pattern. Once the DotCode grid has been completed, the processor generates a label hypothesis based on the identified data dots on the DotCode grid. Thereafter, a decoder unit receives the label hypothesis from the processor and decodes the label hypothesis to obtain the data for the DotCode symbol.

Abstract: A generic shape quality verification process that allows the generalization of Association for Automatic Identification and Mobility (AIM) Direct Part Mark (DPM)/International Organization for Standardization (ISO)/International Engineering Consortium (IEC) (ISO/IEC) 29158 quality metrics for a generic shape marked or marked with a generic technique, wherein the AIM-DPM/ISO-IEC 29158 quality metrics, e.g., Cell Contrast, Cell Modulation, Grid Non Uniformity, Axial Non Uniformity, Fixed Pattern Damage, Unused Error Correction, and Print Growth are generalized to permit verification of a generic shape, are generalized to permit verification of a generic shape, where the process in accordance with the invention consists of the following three steps, i.e., (i) configuration, (ii) calibration and iii) work such that based on computed AIM-DPM/ISO-IEC 29158 metrics, it is possible to verify whether quality of the printed layout is acceptable.

Abstract: A generic shape quality verification process that allows the generalization of Association for Automatic Identification and Mobility (AIM) Direct Part Mark (DPM)/International Organization for Standardization (ISO)/International Engineering Consortium (IEC) (ISO/IEC) 29158 quality metrics for a generic shape marked or marked with a generic technique, wherein the AIM-DPM/ISO-IEC 29158 quality metrics, e.g., Cell Contrast, Cell Modulation, Grid Non Uniformity, Axial Non Uniformity, Fixed Pattern Damage, Unused Error Correction, and Print Growth are generalized to permit verification of a generic shape, are generalized to permit verification of a generic shape, where the process in accordance with the invention consists of the following three steps, i.e., (i) configuration, (ii) calibration and iii) work such that based on computed AIM-DPM/ISO-IEC 29158 metrics, it is possible to verify whether quality of the printed layout is acceptable.

Abstract: The disclosure relates to a data reading system and method for obtaining target data from an image. The data reading method includes obtaining an image containing the target data, and identifying a starting pixel coordinate on the image. The method further includes determining an initial local threshold value based on the selected starting pixel and analyzing the image to detect one or more high contrast boundaries or contours. After detecting the boundaries, the method includes analyzing the one or more boundaries to identify the target data in the image.

Abstract: The disclosure relates to a data reading system and method for identifying and processing optical code symbols, primarily DotCode symbols. The data reading system includes an imager for obtaining an image of an item containing the DotCode symbol and a processor for analyzing the image for ultimately decoding the data from the DotCode symbol. The processor analyzes the obtained image to determine a starting pattern for the DotCode symbol and to begin building the DotCode grid from the starting pattern. Once the DotCode grid has been completed, the processor generates a label hypothesis based on the identified data dots on the DotCode grid. Thereafter, a decoder unit receives the label hypothesis from the processor and decodes the label hypothesis to obtain the data for the DotCode symbol.

Abstract: The disclosure relates to a data reading system and method for obtaining target data from an image. The data reading method includes obtaining an image containing the target data, and identifying a starting pixel coordinate on the image. The method further includes determining an initial local threshold value based on the selected starting pixel and analyzing the image to detect one or more high contrast boundaries or contours. After detecting the boundaries, the method includes analyzing the one or more boundaries to identify the target data in the image.