Abstract: Methods and apparatus to locate and decode an arranged plurality of barcodes in an image are disclosed. An example method includes obtaining image data representing an image of an environment appearing within a FOV of an imaging device that includes the image sensor, wherein an arranged plurality of barcodes appear in the image. A first subset of the plurality of barcodes is decoded from the image data. One or more parameters representing a predicted arrangement of the plurality of barcodes in the image is determined based upon location information associated with each of the decoded first subset of the plurality of barcodes. Possible locations for respective ones of a second subset of the plurality of barcodes are determined based upon the one or more parameters, and the second subset of the plurality of barcodes are attempted to be decoded from the image data in vicinities of the respective possible locations.

Abstract: Methods and apparatus to locate barcodes in color images are disclosed. An example method includes: obtaining a color digital image using an image sensor, the image including a plurality of pixels represented by respective ones of a plurality of luminance components and respective ones of a plurality of color components; determining, based on the luminance components, a plurality of barcode indicative characteristics for respective ones of a plurality of regions of the image; determining, based on the plurality of color components, a plurality of color content amounts for respective ones of the plurality of regions; identifying one or more regions of the plurality of regions that have their respective color content amount satisfy a first criteria, and their respective barcode indicative characteristic satisfy a second criteria; and processing image data corresponding to each of the one or more regions to attempt to identify one or more barcodes in the image.

Abstract: Methods and apparatus to determine barcode decoding parameters for a plurality of barcodes in an image are disclosed. An example method includes: obtaining image data representing an image including a plurality of barcodes; decoding a first barcode of the plurality of barcodes from the image data; determining a set of barcode decoding parameters used to successfully decode the first barcode; determining whether the plurality of barcodes encoded using at least one of a same barcode size, a same module size, or a same barcode format; and when the plurality of barcodes are encoded using at least one of the same barcode size, the same module size, or the same barcode format, attempting to decode all remaining barcodes of the plurality of barcodes from the image data using first the set of barcode decoding parameters.

Abstract: Methods and apparatus to determine barcode decoding parameters for a plurality of barcodes in an image are disclosed. An example method includes: obtaining image data representing an image including a plurality of barcodes; decoding a first barcode of the plurality of barcodes from the image data; determining a set of barcode decoding parameters used to successfully decode the first barcode; determining whether the plurality of barcodes encoded using at least one of a same barcode size, a same module size, or a same barcode format; and when the plurality of barcodes are encoded using at least one of the same barcode size, the same module size, or the same barcode format, attempting to decode all remaining barcodes of the plurality of barcodes from the image data using first the set of barcode decoding parameters.

Abstract: Methods and apparatus to locate and decode an arranged plurality of barcodes in an image are disclosed. An example method includes obtaining image data representing an image of an environment appearing within a FOV of an imaging device that includes the image sensor, wherein an arranged plurality of barcodes appear in the image. A first subset of the plurality of barcodes is decoded from the image data. One or more parameters representing a predicted arrangement of the plurality of barcodes in the image is determined based upon location information associated with each of the decoded first subset of the plurality of barcodes. Possible locations for respective ones of a second subset of the plurality of barcodes are determined based upon the one or more parameters, and the second subset of the plurality of barcodes are attempted to be decoded from the image data in vicinities of the respective possible locations.

Abstract: Methods and apparatus to locate barcodes in color images are disclosed. An example method includes: obtaining a color digital image using an image sensor, the image including a plurality of pixels represented by respective ones of a plurality of luminance components and respective ones of a plurality of color components; determining, based on the luminance components, a plurality of barcode indicative characteristics for respective ones of a plurality of regions of the image; determining, based on the plurality of color components, a plurality of color content amounts for respective ones of the plurality of regions; identifying one or more regions of the plurality of regions that have their respective color content amount satisfy a first criteria, and their respective barcode indicative characteristic satisfy a second criteria; and processing image data corresponding to each of the one or more regions to attempt to identify one or more barcodes in the image.