The present invention relates to document image capture and edge detection issues involved with document image capture.
Generally speaking, a document captured against a noisy background often has trouble using image edge detection filters to accurately capture the document's full extent due to border recognition issues. For example, attempting to capture the image of a document on a background with lots of lines, for instance a wood grain desk, may have edge detection problems. Frequently lines in the background surface are falsely classified as document borders.
Therefore, a need exists for a reliable system and method of document image capture even when the document background is noisy.
Accordingly, in one aspect, the present invention embraces a system of border detection on a document and for producing an image of the document.
In an exemplary embodiment, the system comprises: a frequency specific reflective border on the document; an image capture device; a filter tuned to the frequency of the reflective border; a border detection algorithm; and a processor communicatively linked to the image capture device, to the notch filter, and to the border detection algorithm. The image capture device is configured to capture an image of the document. The processor is configured to apply the filter to the captured image and to produce a second frame. The processor is further configured to apply the border detection algorithm to the second frame to determine a document border mask. The processor is further configured to apply the border mask to the captured image to produce a document image.
In another exemplary embodiment, the system further is comprised of image correction software communicatively linked to the processor. The processor is configured to apply the image correction software to the document image.
In another exemplary embodiment of the system, the image correction software is selected from Keystone correction, white balance, image distortion correction, image skew correction, image blur correction, and combinations thereof.
In another exemplary embodiment of the system, the frequency specific reflective border is printed with reflective ink.
In another exemplary embodiment of the system, the frequency specific reflective border reflects a frequency within the visible spectrum.
In another exemplary embodiment of the system, the frequency specific reflective border reflects a frequency outside of the visible spectrum.
In another exemplary embodiment of the system, the processor may be a central processing unit, a graphics processing unit, a digital signal processor, or a field programmable gate array, or the like.
In yet another exemplary embodiment of the system, the filter may be a bandpass filter or a notch filter.
In another aspect, the present invention embraces a method for document capture with border detection.
In an exemplary embodiment, the method includes the steps of: providing a border with a reflective specified frequency on a document to be captured; capturing an image of the document using an image capture device; applying a filter tuned to the frequency of the border to the captured image; producing a second frame after applying the filter; applying a border detection algorithm to the second frame to determine a document border mask; and applying the border mask to the captured image to produce a document image.
In another exemplary embodiment, the method further includes the steps of applying Keystone correction to the document image; applying white balance correction to the document image; and applying image distortion corrections to the document image.
In another exemplary embodiment of the method, the applying a filter step is accomplished with a bandpass filter or a notch filter.
The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the invention, and the manner in which the same are accomplished, are further explained within the following detailed description and its accompanying drawings.
The present invention embraces a system of border detection on a document and for producing an image of the document. For example, referring to
Referring now to
In conjunction with the rest of the system, when an image capture device takes and image of the document (22) having the frequency specific reflective border (24), the frequency specific reflective border (24) will allow a processor associated with the image capture device to form a second frame using a filter tuned to the frequency of the frequency specific reflective border (24), as will be described in more detail hereinafter.
Referring now to
Continuing to refer to
The filter (41) is frequency tuned to the same frequency as the frequency specific reflective border (24) on the document (22). The filter may be a band pass filter, for example only passing light of a frequency greater than a pre-specified frequency. Preferably, the filter (41) is a notch filter, tuned to the frequency of the frequency specific reflective border (24).
The border detection algorithm (42) may be one of several known in the art for edge detection. For example, there are several standard image-processing techniques for finding the boundaries of objects within images. Most of these techniques work by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Common edge detection algorithms known in the art include the Sobel method, the Canny method, the Prewitt method, the Roberts method, fuzzy logic methods, and others known in the art.
The system (10) in the exemplary embodiment shown in
In another exemplary embodiment, the document image (46) is further processed by the processor (40) to perform any image correction necessary. For example, the processor (40) may be provided with software for Keystone correction, white balance correction, image distortion, image skew correction, image blur correction, and combinations thereof. The document image (46) is submitted to further image corrections (47) as controlled by the processor (40), finally producing a corrected final document image (48).
In another aspect, the invention embraces a method for document capture with border detection. Referring to
The method (100) is advantageously carried out by the system described in conjunction with
In another exemplary embodiment, the method further includes the steps of (114) applying Keystone correction to the document image; (116) applying white balance correction to the document image; and (118) applying image distortion corrections to the document image.
In another exemplary embodiment of the method (100), the step of (106) applying a filter step is accomplished with a bandpass filter or a notch filter.
The foregoing exemplary embodiments of the method (100) may be conveniently carried out by the system discussed herein before in conjunction with
To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:
In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such exemplary embodiments. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation.
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