METHODS AND SYSTEMS FOR EVALUATING HANDWRITTEN DOCUMENTS

• US 20140334731A1
• Filed: 05/07/2013
• Published: 11/13/2014
• Est. Priority Date: 05/07/2013
• Status: Active Grant

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Tripathi, Abhishek, Piratla, Nischal M
• Granted Patent: US 9,305,245 B2
• Time in Patent Office: Days
• US Class Current: 382/186
• CPC Class Codes: G06V 2201/10 Recognition assisted with metadata
• CPC Class Codes: G06V 30/274 Syntactic or semantic context, e.g. balancing

Abstract

A method, a system, and a computer program product for evaluating a handwritten document comprising one or more text fields are provided. The method includes identifying a character in each of the one or more text fields in a digital image by applying a character recognition technique. The character type of the identified character is then compared with a predefined character type corresponding to the associated text field of the one or more text fields. The character type in each of the one or more text fields is then validated based on the comparison. Thereafter the identified character for each of the one or more text fields is recommended while digitalization of the handwritten document.

Claims

1. A method implementable on a computing device for evaluating a handwritten document comprising one or more text fields, the method comprising:

identifying a character in each of the one or more text fields in a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning the handwritten document, and wherein a character type of the identified character comprises at least one of a letter, a symbol, a number, or a special character;

comparing the character type of the identified character with a predefined character type corresponding to the associated text field of the one or more text fields;

validating the character type in each of the one or more text fields based on the comparison; and

recommending the identified character for each of the one or more text fields while digitalization of the handwritten document, wherein the recommending is based on the identification.

2. The method of claim 1, wherein the character recognition technique is an Intelligent Character Recognition (ICR).

3. The method of claim 1 further comprising creating an evaluation report based on the validating.

4. The method of claim 1, wherein the recommendation is provided in a color different than the color of the actual entered character by a user.

5. The method of claim 1, wherein the recommendation is acceptable or over-writable.

6. The method of claim 1, wherein the recommendation is acceptable or over-writable at each keystroke while digitalization of the handwritten document.

7. A system for evaluating a handwritten document, the system comprising:

an image-processing module configured for identifying a character in each of one or more text fields from a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning the handwritten document;

a validation module configured for validating the character type in each of the one or more text fields, wherein the validation is based on a comparison of the character type of the identified character with a predefined character type corresponding to the associated text field of the one or more text fields; and

a recommendation module configured for recommending the identified character in each of the one or more text fields while digitalization of the handwritten document.

8. The system of claim 7, wherein the character comprises at least one of one or more alphabetic characters, one or more numeric characters, one or more marks, or one or more hand-drawn drawings.

9. The system of claim 7, wherein the image-processing module is further configured for facilitating the scanning of the handwritten document.

10. The system of claim 7 further comprising a database for storing the identified character from each of the one or more text fields and the associated predefined character types.

11. A computer program product for use with a computer, the computer program product comprising a computer readable program code for evaluating a handwritten document comprising one or more text fields, the computer readable program code comprising:

program instruction means for identifying a character in each of the one or more text fields in a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning of the handwritten document, and wherein a character type of the identified character comprises at least one of a letter, a symbol, a number, or a special character;

program instruction means for comparing the character type of the identified character with a predefined character type corresponding to the associated text field of the one or more text fields;

program instruction means for validating the character type in each of the one or more text fields based on the comparison; and

program instruction means for recommending the identified character for each of the one or more text fields while digitalization of the handwritten document, wherein the recommending is based on the identification.

12. The computer program product of claim 11, wherein the character recognition technique is an Intelligent Character Recognition (ICR).

13. The computer program product of claim 11 further comprising a program instruction means for creating an evaluation report based on the validating.

14. The computer program product of claim 11, wherein the recommendation is provided in a color different from the color of the actual entered character by a user.

15. The computer program product of claim 11, wherein the recommendation is acceptable or over-writable.

16. The computer program product of claim 11, wherein the recommendation is acceptable or over-writable at each keystroke while digitalization of the handwritten document.