METHOD FOR MAPPING FORM FIELDS FROM AN IMAGE CONTAINING TEXT

• US 20140281871A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Meditory Corporation
• Original Assignee: Meditory LLC
• Inventors: Brunner, Alexander, Smith, Sidney Trey, Long, Randall Timothy
• Application Number:
  US13/834,940
• Publication Number:
  US 20140281871A1
• Time in Patent Office: Days
• US Class Current: 715/226
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06V 30/412 Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
• CPC Class Codes: G06V 30/418 Document matching, e.g. of document images

Abstract

Provides a number of methods of mapping form fields on a computer-readable image file, as well as a method for automatically redacting some portions of the image file. One method includes the steps of: performing optical character recognition (OCR) on the image file to produce digitized text. The digitized text is compared with a plurality of keywords to identify at least one known form field on the image file. Each keyword is associated with one of the form fields. Then the location on the image file of any known form fields is compared with the locations of those same form fields within any provided template. Each template has at least one form field in a unique location from the other provided templates, and thereby it is possible to identify the template that matches the image file.

Claims

1. A method for automatically redacting a textual portion from a computer-readable image file having text including the steps of:

providing a computer having a processor;

providing the computer-readable image file;

performing, by the processor, optical character recognition (OCR) on the image file to produce digitized text;

providing text that has been inputted into the computer by a user;

searching, by the processor, within the digitized text for a match of the inputted text;

locating, by the processor, of the textual portion in the image file that corresponds to the digitized text which matches the inputted text; and

redacting, by the processor, the textual portion from the image file.

2. The method of claim 1 including the step of performing, by the processor, an additional OCR using a different set of OCR filters than the previous OCR when the inputted text cannot be located within the digitized text.

3. The method of claim 1 including the steps of locating, by the processor, a second textual portion below the textual portion, the second textual portion having substantially the same font size as the textual portion;

and redacting a third portion of text that is between the textual portion and the second textual portion.

4. The method of claim 1 wherein the image file is an image of a prescription label.

5. The method of claim 1 wherein the textual portion includes the name of a patient.

6. The method of claim 1 wherein the textual portion includes privacy-sensitive material.

7. The method of claim 3 wherein the third portion of text includes the patient'"'"'s address.

8. A method of mapping form fields on a computer-readable image file including the steps of:

providing a computer having a processor;

providing the computer-readable image file;

performing, by the processor, optical character recognition (OCR) on the image file to produce digitized text;

comparing, by the processor, the digitized text with a plurality of keywords to identify at least one known form field on the image file, each keyword being associated with one of the form fields; and

comparing, by the processor, the location on the image file of any known form fields with the locations of those same form fields within any template in a provided plurality of templates, each template having at least one form field in a unique location from the other provided templates, and thereby identifying the template that matches the image file.

9. The method of claim 8 wherein the image file is an image of a prescription label.

10. The method of claim 8 wherein each template is a prescription label template used by a unique pharmacy.

11. The method of claim 8 including the steps of:

inputting a patient'"'"'s name into the computer;

searching for the patient'"'"'s name within the digitized text; and

identifying any template having the patient'"'"'s name in the same location as the image file.

12. The method of claim 8 including the step of first uploading the computer-readable image file to the computer across a computer network, and the computer is an Internet-accessible web server.

13. A method of mapping form fields on a computer-readable image file including the steps of:

providing a computer having a processor;

providing the computer-readable image file;

entering a patient'"'"'s information into the computer by a user;

performing, by the processor, optical character recognition (OCR) on the image file to produce digitized text;

providing a database of keywords, the keywords each being associated with one of the form fields;

identifying, by the processor, a name form field on the image file by comparing the entered patient information with the digitized text, and locating on the image file the digitized text that matches the patient information;

comparing, by the processor, any digitized text that matches the keywords; and

mapping the form fields in the location of the matching digitized text.

14. The method of claim 13 wherein the image file is an image of a prescription label.

15. The method of claim 13 wherein the patient information is the patient'"'"'s name.

16. The method of claim 13 including the step of first uploading the computer-readable image file to the computer across a computer network, and the computer is an Internet-accessible web server.

17. The method of claim 13 including the step of manually identifying at least one form field that was not identified by comparing the digitized text with the keywords.

18. A method of mapping form fields on a computer-readable image file including the steps of:

providing a remote computer and a central computer, each computer being network-accessible and having a processor;

providing a plurality of computer-readable still images from varying angles about an object;

providing the computer-readable image file stored on the remote computer, the image being a composite stitched image of the plurality of still images;

uploading the image file and the still images from the remote computer to the central computer; and

extracting text from the image file.

19. The method of claim 18 wherein the object is a prescription drug container and the image file is a prescription label.

20. The method of claim 18 including the steps of obtaining the still images with a camera that is connected to the remote computer, and stitching the still images together, by the processor on the remote computer, to create the image file.

21. The method of claim 18 wherein the text is extracted by typing information from the image file into the central computer.

22. The method of claim 18 wherein the text is extracted by performing optical character recognition on the image file by the processor in the central computer.

24. The method of claim 22 wherein the image file is an image of a prescription label.

25. The method of claim 22 wherein each template is a prescription label template used by a unique pharmacy.

26. The method of claim 22 including the steps of:

searching for the patient'"'"'s name within the digitized text by the central computer processor; and

identifying, by the central computer processor, any template having the patient'"'"'s name in the same location as the image file.

23. A method of mapping form fields on a computer-readable image file including the steps of:

providing a remote computer and a central computer, each computer being network-accessible and having a processor;

providing the computer-readable image file;

providing a name of a patient entered into the remote computer;

uploading the image file and the patient name from the remote computer to the central computer across a network;

performing, by the central computer processor, optical character recognition (OCR) on the image file to produce digitized text;

comparing, by the central computer processor, the digitized text with a plurality of keywords to identify at least one known form field on the image file, each keyword being associated with one of the form fields; and

comparing, by the central computer processor, the location on the image file of any known form fields with the locations of those same form fields within any template in a provided plurality of templates, each template having at least one form field in a unique location from the other provided templates, and thereby identifying the template that matches the image file.

27. A method of mapping form fields on a computer-readable image file including the steps of:

providing a remote computer and a central computer, each computer being network-accessible and having a processor;

providing the computer-readable image file;

providing a patient information entered into the remote computer;

uploading the image file and the patient information from the remote computer to the central computer across a network;

performing, by the central computer processor, optical character recognition (OCR) on the image file to produce digitized text;

providing a database of keywords stored in the central computer, the keywords each being associated with one of the form fields;

identifying, by the central computer processor, a name form field on the image file by comparing the entered patient information with the digitized text, and locating on the image file the digitized text that matches the patient information;

comparing, by the central computer processor, any digitized text that matches the keywords; and

mapping the form fields in the location of the matching digitized text.

28. The method of claim 27 wherein the image file is an image of a prescription label.

29. The method of claim 27 wherein the patient information is the patient'"'"'s name.

30. The method of claim 27 including the step of manually identifying at least one form field that was not identified by comparing the digitized text with the keywords.