Recognizing dataforms in image areas
AssigneeMetanetics Corporation
InventorRobert Stanley Cymbalski
Life of this patent
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AssigneeMetanetics Corporation
InventorRobert Stanley Cymbalski
Estimating the term…
Dataforms, such as bar codes and matrix codes, are recognized by analysis of histogram type data derived for a plurality of window sections of an image area. Typically, an image area 512 pixels high by 480 pixels wide is divided into 240 window areas, each including 1024 pixels in a 32 by 32 pixel square. A histogram for a window section overlying a portion of the dataform may typically exhibit two peaks representing the two principal reflective values (black and white, for example) of the elements and spaces of a dataform. A background (quiet zone) window section histogram exhibits one principal peak representing the background value (white, for example). The background window sections and the dataform window sections are assigned to two different groups. One or both groups are then used for one or more of the following: recognizing the presence of a dataform; determining whether the dataform is darker or lighter than the background; and locating the dataform within the image area. Also, a single histogram is used to identify the type of dataform, based upon the histogram signature of the dataform.
A method of recognizing, in an image area, a transition between:
A method of recognizing, in an image area, a transition between:
A method of recognizing a dataform comprised of elements and spaces of at least two different colors, present in an image area including a background area of primarily a single color, comprising the steps of:
Dependencies are inferred from the claim text.