Image-based data management method and system

• US 20090132590A1
• Filed: 11/15/2007
• Published: 05/21/2009
• Est. Priority Date: 11/15/2007
• Status: Active Grant

• Current Assignee: Master Wave International Company, Ltd.
• Original Assignee: Master Wave International Company, Ltd.
• Inventors: Huang, Yung-Chun
• Granted Patent: US 8,244,037 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/31 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/1456 based on user interactions

Abstract

Methods and systems are provided for storing, organizing, and accessing image-based documents. The method includes receiving an image-based document, conducting an OCR conversion process to produce an equivalent document in text format, identifying keywords of the equivalent document in text format, linking the keywords with the image-based document and the corresponding equivalent document in text format, and storing the image-based document, the corresponding equivalent document in text format, and the keywords in a relational database.

Claims

1. A method for organizing business cards, comprising:

receiving a business card in image format;

conducting an optical character recognition (OCR) conversion process to produce an equivalent business card in text format;

identifying keywords of the equivalent business card in text format;

linking the keywords with the business card in image format and the corresponding equivalent business card in text format; and

storing the business card in image format, the corresponding business card in text format, and the keywords in a relational database.

2. The method of claim 1, wherein receiving a business card in image format comprises at least one of:

receiving the business card in image format from a scanner;

receiving the business card in image format from a digital camera;

receiving the business card in image format from a personal digital assistant (PDA);

receiving the business card in image format from a personal computer; and

receiving the business card in image format from a cellular telephone.

3. The method of claim 1 further comprises saving the business card in image format in at least one of the following digital image format:

bmp, gif, jpg, pcd, pct, pict, pcx, pdf, png, tga, vda, icb, vst, tidd, tif, psb, pdp, and sct.

4. The method of claim 1, wherein the equivalent business card in text format is arranged in a grid, and wherein each character in the business card is stored in a corresponding location in the grid.

5. The method of claim 1, wherein conducting an optical character recognition conversion process further comprises:

checking for errors produced by the OCR conversion process; and

correcting errors in the equivalent business card in text format in response to errors found.

6. The method of claim 1, wherein identifying keywords further comprises:

identifying properties of the keywords, wherein properties of the keywords includes at least one of name, title, phone number, email address, fax number, business name, address, and URL to business website.

7. The method of claim 1 further comprising:

searching against the keywords and the business card in text format in the relational database in accordance with a search query; and

providing the business card in image format and the corresponding equivalent business card in text format in response to one or more keywords that match the search query.

8. The method of claim 1 further comprising:

setting permissions for viewing the business card, wherein the permissions include at least one of everyone, friends, and owner only.

9. The method of claim 1 further comprising at least one of:

creating a first URL linking a company name on the business card to the company'"'"'s homepage on the web;

creating a second URL linking an address on the business card to an internet map application for retrieving location and driving directions to the address;

creating a third URL linking a phone number on the business card for automatically dialing the phone number; and

creating a fourth URL linking an email address on the business card to an email application for sending an email to the email address.

10. A system for organizing business cards on a website, comprising:

one or more servers for interface between client devices through a communication network, the one or more servers further comprise;

logic configured to receive a business card in image format;

logic configured to conduct an optical character recognition (OCR) conversion process to produce an equivalent business card in text format;

logic configured to identify keywords of the equivalent business card in text format;

logic configured to link the keywords with the business card in image format and the corresponding equivalent business card in text format; and

logic configured to store the business card in image format, the corresponding business card in text format, and the keywords in a relational database.

11. The system of claim 10, wherein the logic configured to receive a business card in image format comprises at least one of:

logic configured to receive the business card in image format from a scanner;

logic configured to receive the business card in image format from a digital camera;

logic configured to receive the business card in image format from a personal digital assistant (PDA);

logic configured to receive the business card in image format from a personal computer; and

logic configured to receive the business card in image format from a cellular telephone.

12. The system of claim 10 further comprises logic configured to save the business card in image format in at least one of the following digital image format:

bmp, gif, jpg, pcd, pct, pict, pcx, pdf, png, tga, vda, icb, vst, tidd, tif, psb, pdp, and sct.

13. The system of claim 10, wherein the equivalent business card in text format is arranged in a grid, and wherein each character in the business card is stored in a corresponding location in the grid.

14. The system of claim 10, wherein the logic configured to conduct an optical character recognition conversion process further comprises:

logic configured to check for errors produced by the OCR conversion process; and

logic configured to correct errors in the equivalent business card in text format in response to errors found.

15. The system of claim 10, wherein the logic configured to identify keywords further comprises:

logic configured to identify properties of the keywords, wherein properties of the keywords includes at least one of name, title, phone number, email address, fax number, business name, address, and URL to business website.

16. The system of claim 10 further comprising:

logic configured to search against the keywords and the business card in text format in the relational database in accordance with a search query; and

logic configured to provide the business card in image format and the corresponding equivalent business card in text format in response to one or more keywords that match the search query.

17. The system of claim 10 further comprising:

logic configured to set permissions for viewing the business card, wherein the permissions include at least one of everyone, friends, and owner only.

18. The system of claim 10 further comprising at least one of:

logic configured to create a first URL linking a company name on the business card to the company'"'"'s homepage on the web;

logic configured to create a second URL linking an address on the business card to an internet map application for retrieving location and driving directions to the address;

logic configured to create a third URL linking a phone number on the business card for automatically dialing the phone number; and

logic configured to create a fourth URL linking an email address on the business card to an email application for sending an email to the email address.

19. A method for organizing image-based data, comprising:

receiving an image-based document;

conducting an optical character recognition (OCR) conversion process to produce an equivalent document in text format;

identifying keywords of the equivalent document in text format;

linking the keywords with the image-based document and the corresponding equivalent document in text format; and

storing the image-based document, the corresponding equivalent document in text format, and the keywords in a relational database.

20. The method of claim 19, wherein receiving an image-based document comprises at least one of:

receiving the image-based document from a scanner;

receiving the image-based document from a digital camera;

receiving the image-based document from a personal digital assistant (PDA);

receiving the image-based document from a personal computer; and

receiving the image-based document from a cellular telephone.

21. The method of claim 19 further comprises saving the image-based document in at least one of the following digital image format:

bmp, gif, jpg, pcd, pct, pict, pcx, pdf, png, tga, vda, icb, vst, tidd, tif, psb, pdp, and sct.

22. The method of claim 19, wherein the equivalent document text format is arranged in a grid, and wherein each character in the image-based document is stored in a corresponding location in the grid.

23. The method of claim 19, wherein conducting an optical character recognition conversion process further comprises:

checking for errors produced by the OCR conversion process; and

correcting errors in the equivalent document in text format in response to errors found.

24. The method of claim 19, wherein identifying keywords further comprises:

identifying properties of the keywords.

25. The method of claim 19 further comprising:

searching against the keywords and the equivalent document in text format in the relational database in accordance with a search query; and

providing the image-based document and the corresponding equivalent document in text format in response to one or more keywords that match the search query.