Granted Patent B1

US 8,155,425 · App. 12/538,552 · Granted Apr 10, 2012

Abstract

Claims (24)

1. A method of resolving a check image region within a document image comprising the steps of:

processing by (Optical Character Recognition) a full page document image containing rows of text using a (Magnetic Ink Character Recognition)-specific font wherein non-MICR fonts return a higher level of OCR exceptions than MICR fonts in the document image;

calculating the level of OCR exceptions for each row of text in the document image;

resolving the location of the row of text most likely to contain the MICR data based on the level of OCR exceptions;

defining a lower boundary of the check image region by the location of the MICR data;

establishing a check top candidate area, the check top candidate area defined by a collection of variations in height of predefined check dimensions measured from the location of the MICR data;

detecting a horizontal raster line within the check top candidate area whereby the horizontal raster line defines the top of the check;

defining an upper boundary of the check image region by the location of the horizontal line; and

digitally cropping the full page document image above the upper boundary and cropping the full page document image below the lower boundary to transform the full page document image to a check-specific image.

2. The method of claim 1 further comprising the step of creating a new image file of the check-specific image.

3. The method of claim 1 wherein the step of defining the upper boundary of the check image region comprises locating a horizontal raster line farthest from the lower boundary from a plurality of horizontal raster lines within the check top candidate area.

4. The method of claim 1 wherein a tallest check height dimension is selected from the collection to define the upper boundary responsive to the absence of detectable horizontal raster lines.

5. One or more non-transitory computer-readable media having computer-executable instructions for performing a method of running a software program on a computer, the computer operating under an operating system, the method including issuing instructions from the software program comprising:

processing by (Optical Character Recognition) a full page document image containing rows of text using a (Magnetic Ink Character Recognition)-specific font wherein non-MICR fonts return a higher level of OCR exceptions than MICR fonts in the document image;

calculating the level of OCR exceptions for each row of text in the document image;

resolving the location of the row of text most likely to contain the MICR data based on the level of OCR exceptions;

defining a lower boundary of the check image region by the location of the MICR data;

establishing a check top candidate area, the check top candidate area defined by a collection of variations in height of predefined check dimensions measured from the location of the MICR data;

detecting a horizontal raster line within the check top candidate area whereby the horizontal raster line defines the top of the check;

defining an upper boundary of the check image region by the location of the horizontal line; and

digitally cropping the full page document image above the upper boundary and cropping the full page document image below the lower boundary to transform the full page document image to a check-specific image.

6. The one or more non-transitory computer-readable media of claim 5 further comprising the step of creating a new image file of the check-specific image.

7. The one or more non-transitory computer-readable media of claim 5 wherein the step of defining the upper boundary of the check image region comprises locating a horizontal raster line farthest from the lower boundary from a plurality of horizontal raster lines within the check top candidate area.

8. The one or more non-transitory computer-readable media of claim 5 wherein a tallest check height dimension is selected from the collection to define the upper boundary responsive to the absence of detectable horizontal raster lines.

Assignments (9)