Information processing apparatus, information processing method, and non-transitory computer readable medium

Patent metadata

Field	Value
Publication number	US-12367695-B2
Application number	US-202217704000-A
Country	US
Kind code	B2
Filing date	Mar 25, 2022
Priority date	Sep 24, 2021
Publication date	Jul 22, 2025
Grant date	Jul 22, 2025

Abstract

An information processing apparatus includes a processor configured to: extract attribute values for plural attributes from an optical character recognition (OCR) result for an image in accordance with an extraction rule determined in advance, and generate an extraction result in which the extracted attribute values and the respective attributes are correlated with each other; and perform control so as to associate, in accordance with an association rule for associating an attribute value for a sub attribute with a different attribute, the attribute value for the sub attribute with the different attribute included in the extraction result, the sub attribute being an attribute for which an attribute value is extracted from the image and which supplements a content for the different attribute.

First claim

What is claimed is:

1. An information processing apparatus comprising:
a processor configured to:
extract attribute values for a plurality of attributes from an optical character recognition (OCR) result for an image in accordance with an extraction rule determined in advance, and generate an extraction result in which the extracted attribute values and the respective attributes are correlated with each other; and
perform control so as to associate, in accordance with an association rule for associating an attribute value for a sub attribute with a different attribute, the attribute value for the sub attribute with the different attribute included in the extraction result, the sub attribute being an attribute for which an attribute value is extracted from the image and which supplements a content for the different attribute,

wherein the association rule includes a condition for performing association and association information that prescribes how the different attribute and the sub attribute are to be associated with each other, and
wherein the processor is configured to perform control so as to associate the attribute value for the sub attribute with the different attribute in accordance with the association information in a case where the condition is met.

2. The information processing apparatus according to claim 1 ,
wherein the condition includes a content that prescribes at least one of a position of the attribute value for the sub attribute in the image and a content of the attribute value for the sub attribute.

3. The information processing apparatus according to claim 1 ,
wherein the processor is configured to perform control so as to also associate an attribute value for an associated sub attribute with the different attribute in a case where the sub attribute is associated with the different attribute, the associated sub attribute being an attribute that supplements the content for the different attribute as with the sub attribute, and an attribute value for the associated sub attribute being not correlated using the extraction rule but being determined uniquely using the attribute value for the sub attribute.

4. The information processing apparatus according to claim 2 ,
wherein the processor is configured to perform control so as to also associate an attribute value for an associated sub attribute with the different attribute in a case where the sub attribute is associated with the different attribute, the associated sub attribute being an attribute that supplements the content for the different attribute as with the sub attribute, and an attribute value for the associated sub attribute being not correlated using the extraction rule but being determined uniquely using the attribute value for the sub attribute.

5. The information processing apparatus according to claim 3 ,
wherein the associated sub attribute is an attribute for which the attribute value is not included in the image.

6. The information processing apparatus according to claim 4 ,
wherein the associated sub attribute is an attribute for which the attribute value is not included in the image.

7. The information processing apparatus according to claim 1 ,
wherein the extraction result is represented by a data structure that manages associated attributes in a hierarchical manner.

8. The information processing apparatus according to claim 2 ,
wherein the extraction result is represented by a data structure that manages associated attributes in a hierarchical manner.

9. The information processing apparatus according to claim 3 ,
wherein the extraction result is represented by a data structure that manages associated attributes in a hierarchical manner.

10. The information processing apparatus according to claim 4 ,
wherein the extraction result is represented by a data structure that manages associated attributes in a hierarchical manner.

11. The information processing apparatus according to claim 5 ,
wherein the extraction result is represented by a data structure that manages associated attributes in a hierarchical manner.

12. The information processing apparatus according to claim 1 ,
wherein the attribute value for the sub attribute is an attribute value located at a position at which the attribute value is not extracted as an attribute value for the different attribute even if extracted from the image in accordance with the extraction rule.

13. An information processing method comprising:
extracting attribute values for a plurality of attributes from an optical character recognition (OCR) result for an image in accordance with an extraction rule determined in advance, and generate an extraction result in which the extracted attribute values and the respective attributes are correlated with each other; and
executing control so as to associate, in accordance with an association rule for associating an attribute value for a sub attribute with a different attribute, the attribute value for the sub attribute with the different attribute included in the extraction result, the sub attribute being an attribute for which an attribute value is extracted from the image and which supplements a content for the different attribute,
wherein the association rule includes a condition for performing association and association information that prescribes how the different attribute and the sub attribute are to be associated with each other, and
wherein the attribute value for the sub attribute is associated with the different attribute in accordance with the association information in a case where the condition is met.

14. A non-transitory computer readable medium storing a program causing a computer to execute process for information processing, the process comprising:
extracting attribute values for a plurality of attributes from an optical character recognition (OCR) result for an image in accordance with an extraction rule determined in advance, and generating an extraction result in which the extracted attribute values and the respective attributes are correlated with each other; and
executing control so as to associate, in accordance with an association rule for associating an attribute value for a sub attribute with a different attribute, the attribute value for the sub attribute with the different attribute included in the extraction result, the sub attribute being an attribute for which an attribute value is extracted from the image and which supplements a content for the different attribute,
wherein the association rule includes a condition for performing association and association information that prescribes how the different attribute and the sub attribute are to be associated with each other, and
wherein the attribute value for the sub attribute is associated with the different attribute in accordance with the association information in a case where the condition is met.

Assignees

• Fujifilm Business Innovation Corp

Inventors

• Yamaguchi Akinobu
• Shimizu Junichi
• Kobayashi Kunihiko
• Adachi Shintaro
• Nakamura Shinya
• Yoshizuka Masanori
• Abe Akane
• Takahashi Naomi

Classifications

• G06V30/18 Primary

  Extraction of features or characteristics of the image · CPC title

• G06V30/412 Primary

  Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables · CPC title