Abstract: Embodiments of the present disclosure relate to utilizing geometric image cropping for improved image processing. Such geometric image cropping improves efficiency and/or throughput of various image processing tasks, for example for reading a machine-readable symbology via a specially-configured scanner. Some embodiments generate cropping parameter(s) using raytracing projections from lens data and ranging data for use in cropping image(s). Some embodiments generate cropping parameter(s) using magnification estimation for use in cropping image(s). Generated cropping parameter(s) may be stored via a reader, for example to a range-parameter table, to efficiently be retrieved and utilized for cropping subsequently captured images while remaining accurate and efficient for image processing.

Abstract: Image processing for scanning devices based on laser aimer position, wherein a first frame and a second frame of image data related to an object associated with a barcode are captured using a scanning device. A difference between first pixel data for a first grouping of pixels associated with the first frame and second pixel data for a second grouping of pixels associated with the second frame is computed. Additionally, a location of a laser aimer pattern in the first frame or the second frame is determined based on a comparison between respective differences between the first pixel data for the first grouping of pixels and the second pixel data for the second grouping of pixels, where the laser aimer pattern is created by the scanning device.