Apparatus and methods for management of electronic images

• US 7,773,822 B2
• Filed: 05/02/2006
• Issued: 08/10/2010
• Est. Priority Date: 05/02/2005
• Status: Active Grant

• Current Assignee: Colormax Incorporated
• Original Assignee: Colormax Incorporated
• Inventors: Walker, James Robert
• Primary Examiner(s): Mariam; Daniel G
• Application Number:
  US11/416,987
• Publication Number:
  US 20070011149A1
• Time in Patent Office: 1,561 Days
• Field of Search: 382/113, 382/181, 382/229, 382/305, 382/182, 382/254, 707 1- 10, 707/104.1, 707705-708, 707/713
• US Class Current: 382/254
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Systems including hardware and computer software and methods can create a text-searchable data structure that includes electronic image documents. The system may be configured in modules. The system converts an electronic image document into a visually optimized electronic image document and into a detail optimized electronic image document. The system also includes an OCR engine that abstracts character information from the detail optimized electronic image document and writes the character information into a text file. The visually optimized electronic image document is linked with the text file in a data structure by the system. The resulting data structure, which may be an image over hidden text pdf document, may be searched using various text based search techniques. When specified text is located in a text file, the corresponding visually optimized electronic image document may then be presented to the searcher.

Claims

1. A computer apparatus for creating a text searchable data structure containing electronic image documents, comprising:

a first module that converts an electronic image document into a visually optimized electronic image document, wherein the first module includes a processor and a memory coupled to the processor;

a second module that converts an electronic image document into a detail optimized electronic image document, which is different than the visually optimized image, wherein the first module includes a processor and a memory coupled to the processor;

an OCR engine that abstracts character information from the detail optimized electronic image document and writes the character information into a text file; and

,

a linking module that links the visually optimized electronic image document with the text file in a data structure.

2. The apparatus of claim 1, further comprising a data structure configured as a unitary data structure.

3. The apparatus of claim 1, further comprising a data structure configured as an image over hidden text pdf.

4. The apparatus of claim 1, further comprising:

a module that writes metadata to a metadata record in the data structure, the metadata record linked with the text file and the metadata record linked with the visually optimized electronic image document in the data structure.

5. The apparatus of claim 1, further comprising:

a module that searches the text file for occurrences of tagged text and writes the occurrences of tagged text to a metadata record in the data structure.

6. The apparatus of claim 1, wherein the OCR engine discards the detail optimized electronic image document after writing the character information into a text file.

7. The apparatus of claim 1, wherein the linking module is free from the detail optimized electronic image document.

8. A data structure created by a process comprising:

generating a visually optimized electronic image document from an electronic image document;

generating a detail optimized electronic image document from the electronic image document, which is different than the visually optimized electronic image document;

using an optical character recognition engine to create a text file from the detail optimized electronic image document; and

linking the visually optimized image with the text file in a data structure, and the data structure comprising;

one or more visually optimized digital images derived from an original image file; and

one or more text files derived from an optical character recognition optimized file that is derived from the original image file, each text file linked with the visually optimized digital image.

9. The data structure of claim 8, further comprising:

one or more metadata records, each metadata record linked with the visually optimized digital image and each metadata record link with the text file.

10. The data structure of claim 8, further comprising:

tagged text.

11. A method for creating a text searchable data structure containing electronic image documents, comprising:

generating a visually optimized electronic image document from an electronic image document;

generating a detail optimized electronic image document from the electronic image document, which is different than the visually optimized electronic image document;

using an optical character recognition engine to create a text file from the detail optimized electronic image document; and

linking the visually optimized image with the text file in a data structure.

12. The method of claim 11, wherein the data structure may be unitary.

13. The method of claim 11, wherein the data structure is an image over hidden text pdf document, the image over hidden text pdf document with the visually optimized electronic image document in one layer and the text file in one layer.

14. The method of claim 11, further comprising:

writing metadata to a metadata record in the data structure; and

linking the metadata record with the text file and the visually optimized electronic image document in the data structure.

15. The method of claim 11, wherein the data structure is an image over hidden text pdf document.

16. The method of claim 11, further comprising:

identifying occurrences of tagged text in the text file; and

,

writing the occurrences of tagged text to a metadata record in the data structure.

17. The method of claim 11, wherein using an optical character recognition engine includes bypassing the visually optimized electronic image document past the optical character recognition engine.

18. The method of claim 11, discarding the detail optimized electronic image document after creating a text file from the detail optimized electronic image document.

19. The method of claim 11, wherein the data structure is free from the detail optimized electronic image document.