System and Method for Correcting Low Confidence Characters From an OCR Engine With an HTML Web Form

• US 20080212901A1
• Filed: 03/03/2008
• Published: 09/04/2008
• Est. Priority Date: 03/01/2007
• Status: Abandoned Application

• Current Assignee: HBP of San Diego, Inc. (Konica Minolta Inc.)
• Original Assignee: HBP of San Diego, Inc. (Konica Minolta Inc.)
• Inventors: Walter, Mark, Castiglia, Tom
• Application Number:
  US12/041,511
• Publication Number:
  US 20080212901A1
• Time in Patent Office: Days
• US Class Current: 382/311
• CPC Class Codes: G06V 10/987 with the intervention of an operator

Abstract

A character based system and method for correcting low confidence characters from an OCR system facilitates operator review, editing and correction of character and field level data generated by an OCR system without the need for an application that is installed at the operator workstation. The system creates a data structure of OCR information and provides that information to an operator through an HTML interface that is rendered using HTML and JavaScript. The data structure includes an OCR confidence level for each character and/or field and the operator is prompted to review only those characters/fields that meet a predetermined threshold for the confidence level. The operator can use an input key (e.g., TAB or ENTER) to navigate to each character/field with a low confidence level and thereby correct or validate each low confidence character/field as appropriate.

Claims

1. A computer implemented method for correcting low confidence characters from an optical character recognition (“

OCR”

) system, the method comprising;

receiving from an OCR system an image of a source document and corresponding text data generated by the OCR system as a result of an OCR analysis;

parsing the text data to identify a plurality of fields of text data, each field of text data comprising one or more characters of text data;

parsing the text data to identify a confidence value for each character of text data;

parsing the text data to identify an X-Y coordinate value for each field of text data and for each character of text data;

populating a data structure with each field of text data, the X-Y coordinate value for each field of text data, the characters of text data corresponding to each field, the X-Y coordinate value for each character of text data and the confidence value for each character of text data;

determining a low confidence character threshold;

creating a hypertext markup language (“

HTML”

) form comprising a plurality of individual field objects, wherein each individual field object includes one or more characters and wherein each character having a confidence value below the low confidence character threshold is identified as a stop position in a field object;

displaying to an operator the HTML form;

simultaneously displaying to the operator an image of a portion of the source document image;

moving an input focus on the HTML form to a first stop position in a field object and visually emphasizing in the displayed HTML form the low confidence character corresponding to the first stop position;

zooming the display of the source document image to the X-Y coordinate value associated with the low confidence character at the first stop position;

receiving an input from the operator to move to another object;

moving the input focus on the HTML form to a second stop position in a field object and visually emphasizing in the displayed HTML form the low confidence character corresponding to the second stop position; and

zooming the display of the source document image to the X-Y coordinates associated with the second low-confidence object.

2. The method of claim 1, wherein the first stop position and the second stop position are in the same field object.

3. The method of claim 1, wherein each field object is an inline frame.

4. The method of claim 1, further comprising simultaneously presenting to the operator a thumbnail image of the entire source document image.

5. The method of claim 1, wherein visually emphasizing comprises changing the color of the background for the low confidence character.

6. The method of claim 1, wherein receiving an input from the operator comprises receiving a change to the text character and updating the data structure with the changed text character.

7. The method of claim 1, wherein receiving an input from the operator comprises receiving an indication of a keystroke from the operator comprising one of the TAB or ENTER key.

16. The method of claim 1, wherein the OCR editing interface module is further configured to receive an input from the operator to change the input focus to the next stop position wherein the received input is one of the TAB or ENTER key.

8. A technical system for correcting low confidence characters generated by an optical character recognition (“

OCR”

) system, the system comprising;

an OCR character module configured to receive from the OCR system an image of a source document and corresponding text data generated by the OCR system as a result of an OCR analysis, the OCR character module further configured to parse the text data to identify (i) a plurality of fields of text data, each field of text data comprising one or more characters of text data, (ii) a confidence value for each character of text data, and (iii) an X-Y coordinate value for each field of text data and for each character of text data;

wherein the OCR character module populates a data structure with each field of text data, the X-Y coordinate value for each field of text data, the characters of text data corresponding to each field, the X-Y coordinate value for each character of text data and the confidence value for each character of text data;

an OCR editing interface module configured to generate a hypertext markup language (“

HTML”

) form comprising a plurality of fields, wherein each field comprises one or more individual characters from the data structure and wherein each individual character having a low confidence level is identified as a stop position in the HTML form, the HTML form further comprising a source document image display portion;

wherein the OCR editing interface module is further configured to present the HTML form to an operator wherein an input focus on the HTML form is moved to a first stop position and the corresponding first low confidence character is visually emphasized and an image of the source document at X-Y location associated with first low confidence character is displayed in the source document image display portion and the operator moves through a series of stop positions to validate or correct the low confidence characters generated by the OCR engine.

9. The system of claim 8, further comprising an OCR engine configured to analyze an image of a source document and convert portions of the source document image into a plurality of fields of text data, each field having one or more characters of text data, the OCR engine further configured to identify an X-Y location in the source document image for each field and character of text data and estimate a confidence level for each character of text data.

10. The system of claim 9, wherein the OCR engine is further configured to estimate a confidence level for each field of text data.

11. The system of claim 8, wherein each field on the HTML form is an inline frame.

12. The system of claim 8, wherein a field on the HTML form comprises a plurality of stop positions.

13. The system of claim 8, wherein the OCR editing interface module is further configured to simultaneously present a thumbnail image of the entire source document image.

14. The system of claim 8, wherein the OCR editing interface module is further configured to visually emphasize by changing the color of the background of a low confidence character.

15. The system of claim 8, wherein the OCR editing interface module is further configured to receive an input from the operator indicating an update to a text character and updating the data structure with the changed text character.