Superposition detection and correction

Patent metadata

Field	Value
Publication number	US-11032435-B1
Application number	US-202016744611-A
Country	US
Kind code	B1
Filing date	Jan 16, 2020
Priority date	Jan 16, 2020
Publication date	Jun 8, 2021
Grant date	Jun 8, 2021

Abstract

A method, computer system, and computer program product for document superposition detection and correction are provided. The embodiment may include receiving a plurality of scanned documents. The embodiment may also include analyzing the plurality of the scanned documents. The embodiment may further include determining if there is a superposition scanning defect within the scanned documents based on the analysis. The embodiment may also include in response to the plurality of the scanned documents containing the superposition scanning defect, identifying a subset of documents within the plurality of scanned documents containing the determined superposition scanning defect. The embodiment may further include transmitting a notification to a user, wherein the notification identifies the subset and that the subset requires a rescan.

First claim

What is claimed is:

1. A processor-implemented method for document superposition detection and correction, the method comprising:
receiving a plurality of scanned documents;
analyzing the plurality of the scanned documents;
determining if there is a superposition scanning defect within the scanned documents based on the analysis;
in response to the plurality of the scanned documents containing the superposition scanning defect, identifying a subset of documents within the plurality of scanned documents containing the determined superposition scanning defect, wherein a subset of the documents that have all texts and borders of the document that are not obscured by other documents within the plurality of scanned documents containing the determined superposition scanning defect is separated and kept as intact documents, wherein the subset of the documents that do not have their texts and borders obscured by the other documents have smaller areas than areas of the documents that have the scanning defect; and
transmitting a notification to a user, wherein the notification identifies the subset and that the subset requires a rescan.

2. The method of claim 1 , further comprising:
identifying keywords contained in the plurality of scanned documents to store in a database as metadata.

3. The method of claim 1 , further comprising:
determining if there are other types of scanning defects in the subset that do not require the rescan.

4. The method of claim 1 , further comprising:
detecting a number of documents that are in a single image page.

5. The method of claim 4 , further comprising:
measuring data completeness of one or more documents that are contained in the single image page.

6. The method of claim 4 , further comprising:
detecting one or more edges contained in the single image page.

7. The method of claim 4 , further comprising:
identifying one or more overlaying or obscured pages within the single image page utilizing a feature extraction technique.

8. A computer system for document superposition detection and correction, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
receiving a plurality of scanned documents;
analyzing the plurality of the scanned documents;
determining if there is a superposition scanning defect within the scanned documents based on the analysis;
in response to the plurality of the scanned documents containing the superposition scanning defect, identifying a subset of documents within the plurality of scanned documents containing the determined superposition scanning defect, wherein a subset of the documents that have all texts and borders of the document that are not obscured by other documents within the plurality of scanned documents containing the determined superposition scanning defect is separated and kept as intact documents, wherein the subset of the documents that do not have their texts and borders obscured by the other documents have smaller areas than areas of the documents that have the scanning defect; and
transmitting a notification to a user, wherein the notification identifies the subset and that the subset requires a rescan.

9. The computer system of claim 8 , further comprising:
identifying keywords contained in the plurality of scanned documents to store in a database as metadata.

10. The computer system of claim 8 , further comprising:
determining if there are other types of scanning defects in the subset that do not require the rescan.

11. The computer system of claim 8 , further comprising:
detecting a number of documents that are in a single image page.

12. The computer system of claim 11 , further comprising:
measuring data completeness of one or more documents that are contained in the single image page.

13. The computer system of claim 11 , further comprising:
detecting one or more edges contained in the single image page.

14. The computer system of claim 11 , further comprising:
identifying one or more overlaying or obscured pages within the single image page utilizing a feature extraction technique.

15. A computer program product for document superposition detection and correction, the computer program product comprising:
one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor of a computer to perform a method, the method comprising:
receiving a plurality of scanned documents;
analyzing the plurality of the scanned documents;
determining if there is a superposition scanning defect within the scanned documents based on the analysis;
in response to the plurality of the scanned documents containing the superposition scanning defect, identifying a subset of documents within the plurality of scanned documents containing the determined superposition scanning defect, wherein a subset of the documents that have all texts and borders of the document that are not obscured by other documents within the plurality of scanned documents containing the determined superposition scanning defect is separated and kept as intact documents, wherein the subset of the documents that do not have their texts and borders obscured by the other documents have smaller areas than areas of the documents that have the scanning defect; and
transmitting a notification to a user, wherein the notification identifies the subset and that the subset requires a rescan.

16. The computer program product of claim 15 , further comprising:
identifying keywords contained in the plurality of scanned documents to store in a database as metadata.

17. The computer program product of claim 15 , further comprising:
determining if there are other types of scanning defects in the subset that do not require the rescan.

18. The computer program product of claim 15 , further comprising:
detecting a number of documents that are in a single image page.

19. The computer program product of claim 18 , further comprising:
measuring data completeness of one or more documents that are contained in the single image page.

20. The computer program product of claim 18 , further comprising:
identifying one or more overlaying or obscured pages within the single image page utilizing a feature extraction technique.

Assignees

• IBM

Inventors

• Ramos Igor S
• Lavery Andrew J
• Altaf Faheem
• Hake Paul

Classifications

• G06V10/48

  by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation · CPC title

• G06V2201/10

  Recognition assisted with metadata · CPC title

• H04N1/00018

  Scanning arrangements · CPC title

• H04N1/00039

  Analysis, i.e. separating and studying components of a greater whole · CPC title

• H04N1/00005

  relating to image data · CPC title