Abstract: A hand-supportable digital imaging-based bar code symbol reader employing an event-driven system control subsystem, automatic IR-based object detection, and a trigger-switch activated image capture and processing subsystem.

Abstract: A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; an image formation and detection subsystem; a LED-based illumination subsystem having a wide area illumination mode of operation; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling each of the above-described subsystems. The image-processing bar code symbol reading subsystem performs helically-sweeping feature-extraction analysis on a captured digital image of an object referenced from the center thereof, so as to enable the rapid reading of a bar code symbol graphically represented therein, using advanced image-processing based bar code reading techniques.

Abstract: A digital-imaging based code symbol reading system comprising an image sensing array with a field of view (FOV), an illumination subsystem with an LED illumination array, an automatic illumination measurement subsystem, an illumination control subsystem, and programmed imager processor supporting an image-processing based illumination metering program. The automatic illumination measurement subsystem automatically measures the illumination level at a particular region of the FOV and determines the illumination duration necessary to achieve a desired spatial intensity in the detected digital image. The illumination metering program automatically analyzes and measures, in real-time, the spatial intensity distribution of the digital image and determines whether or not a corrected illumination duration is required or desired when detecting the next or subsequent digital images, during the current or subsequent object illumination and imaging cycle.

Abstract: A method of determining the lower limit of decoding resolution in a digital imaging-based bar code symbol reader. A software-based optical design program is used to generate the composite DOF chart of image formation optics employed in the digital imaging-based bar code symbol reader. The modulation transfer function (MTF) of the object image is used to determine the smallest mil size code that can be decoded, at a given object distance, to produce an optical performance curve. The program calculates the size of the field of view (FOV) of a single sensor pixel, when projected through the image formation optics and out into object space. For both the 1.4 and 1.6 sampling limit pixel rules, the calculated FOV values are plotted on the same axes as the optical performance curve. Using graphical solution techniques, the sampling limit line of choice determines the lower limit of the decoding resolution in the imaging-based bar code symbol reader.

Abstract: A method of reading bar code symbols comprising the steps of: (a) projecting an image cropping zone (ICZ) framing pattern within the FOV of an image sensing array during wide-area illumination and image capturing operation; (b) visually aligning an object to be imaged within the ICZ framing pattern; (c) forming and capturing an wide-area image of the entire FOV, which spatially encompasses the ICZ framing pattern aligned about the object to be imaged; (d) using automatic software-based image cropping algorithm to automatically crop the pixels within the spatial boundaries defined by the ICZ framing pattern, from those pixels contained in the entire wide-area image frame captured during step (c); and (e) automatically decode processing the image represented by the cropped image pixels in the ICZ framing pattern so as to read a 1D or 2D bar code symbol graphically represented therein.

Abstract: A hand-supportable digital imaging-based bar code symbol reading system comprises: an automatic object presence and range detection subsystem; an image formation and detection subsystem; a multi-mode LED-based illumination subsystem having an LED illumination array; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem having a first mode and a second mode of operation; an input/output subsystem; and a system control subsystem for controlling the subsystems. The multi-mode image-processing bar code symbol reading subsystem automatically switches its modes of image-processing during a single bar code symbol reading cycle, and within each mode of image-processing based bar code symbol reading a different image-processing based bar code symbol reading methodology is automatically applied.

Abstract: A hand-supportable digital imaging-based bar code symbol reading system comprises: an automatic object presence detection subsystem; an image formation and detection subsystem having an area-type image sensing array with a field of view (FOV); a LED-based illumination subsystem having an LED illumination array for producing a field of narrow-band illumination within the FOV; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The image-processing bar code symbol reading subsystem has a mode of image processing, wherein a captured digital image is automatically processed along a set of parallel virtual scan lines spaced-apart by a number of pixel-offset distances proportional to the maximum pixel height of the region of interest (ROI) in the captured digital image containing a bar code symbol.

Abstract: Method of and apparatus for processing captured images within a semi-automatic hand-supportable imaging-based bar code symbol reader in order to read 1D and/or 2D bar code symbols graphically represented therein. The semi-automatic hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem; an input/output subsystem; a manually-activatable trigger switch; and a system control subsystem integrated with each of the above-described subsystems. The bar code symbol reader embodies advanced image processing methods for reading 1D and/or 2D bar code symbols graphically represented in captured digital images.

Abstract: A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide-area image-capture modes of operation; a multi-mode LED-based illumination subsystem having independently controllable LED illumination arrays; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The hand-supportable imaging-based bar code reader employs a method of intelligently illuminating objects during image capture, wherein the LED illumination arrays are independently controlled during particular moments of object illumination to generate digital images of objects which, through digital image analysis, are determined to be substantially free of noise (i.e.