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Out-of-bounds detection of a document in a live camera feed

Active Publication Date: 2018-12-20
INTUIT INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present patent provides a computer-implemented method for processing a digital image of a document by obtaining multiple images, segmenting them into foreground and background pixels, detecting contours, and determining if the document is a long document or if its sides are out-of-bounds based on the detected contours. This method can be implemented using computer-readable storage media and a processor. The technical effect of this patent is to provide a more efficient and accurate way to process digital images of documents.

Problems solved by technology

In some cases, however, due to the limitations of cameras, such as restricted fields of view, a document may be too long to capture in a single image of sufficient quality to identify the document's textual content.

Method used

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  • Out-of-bounds detection of a document in a live camera feed
  • Out-of-bounds detection of a document in a live camera feed
  • Out-of-bounds detection of a document in a live camera feed

Examples

Experimental program
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Effect test

Embodiment Construction

[0018]Optical character recognition (OCR) techniques are generally used to convert images of text into computer-encoded text. OCR results tend to be more accurate when used to evaluate high-resolution, low-noise images of typed, black text against a white background. However, in practice, text in digital images is often noisy, obscured, or otherwise less than ideal. In some cases, for example, a physical document may be relatively obscured or deteriorated as a result of decomposition, excessive use, folding, fingerprints, water damage, or mildew at the time an image of the document is captured. Of course, an image of a document may be of poor-quality for a variety of other reasons (e.g., if the document is no longer extant and better images therefore cannot be obtained). Poor image quality tends to increase OCR processing time and decrease final accuracy. Thus, OCR techniques often fail to produce satisfactory results on poor-quality images.

[0019]In order to make information more re...

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PUM

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Abstract

Aspects of the present disclosure provide methods and apparatuses for processing a digital image of a document, for example, to determine whether the document is a long document. An exemplary method generally includes obtaining a plurality of digital images of the document, segmenting at least a first digital image of the plurality of images into pixels associated with a foreground of the first digital image and pixels associated with a background of the first digital image, detecting a plurality of contours in the segmented first digital image, deciding, for each detected contour of the plurality of contours, whether that contour is an open contour or a closed contour, and determining that one or more sides of the document is out-of-bounds based, at least in part, on the decisions.

Description

BACKGROUNDField[0001]The present disclosure generally relates to processing digital images of documents or forms. More specifically, the present disclosure provides techniques for detecting whether one or more sides of a document is out of bounds in a live camera feed.Related Art[0002]In the course of using a mobile application, it is sometimes useful to capture an image of a document. For example, a user of a financial management application may capture an image of a receipt related to a financial transaction for use within the application. In some cases, however, due to the limitations of cameras, such as restricted fields of view, a document may be too long to capture in a single image of sufficient quality to identify the document's textual content.SUMMARY[0003]Aspects of the present disclosure provide a computer-implemented method for processing a digital image of a document. The computer-implemented method generally includes obtaining a plurality of digital images of the docum...

Claims

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Application Information

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IPC IPC(8): H04N1/00H04N1/195G06V30/40
CPCH04N1/00713G06K9/344H04N1/00748H04N1/00771H04N1/19594H04N2101/00H04N2201/0081H04N1/00721H04N1/00718H04N1/00702H04N1/00708H04N1/00726H04N1/3873G06K9/3275H04N1/387H04N1/00737G06V30/40G06V30/142G06V20/63G06V30/146
Inventor YELLAPRAGADA, VIJAYCHIANG, PEIJUNLEE, DANIELHALL, JASONSOLIWAL, SHAILESH
Owner INTUIT INC
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