Information processing apparatus and non-transitory computer readable medium

Patent metadata

Field	Value
Publication number	US-2022180091-A1
Application number	US-202117322907-A
Country	US
Kind code	A1
Filing date	May 18, 2021
Priority date	Dec 9, 2020
Publication date	Jun 9, 2022
Grant date	—

Abstract

An information processing apparatus includes a processor configured to: acquire an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings; extract, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and output the key character string and the value character string corresponding to the key character string.

First claim

What is claimed is:

1 . An information processing apparatus comprising:
a processor configured to:
acquire an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings;
extract, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and
output the key character string and the value character string corresponding to the key character string.

2 . The information processing apparatus according to claim 1 , wherein the processor comprises a learning model that has learned to acquire an image of a character string from an image, and
wherein the processor is configured to, by using the learning model, acquire the image corresponding to the key character string from the target image.

3 . The information processing apparatus according to claim 2 , wherein the processor is configured to cause the learning model to learn by using the target image from which the image corresponding to the key character string has been acquired.

4 . The information processing apparatus according to claim 1 , wherein the results of acquiring the image corresponding to the key character string comprise information indicating a position of the key character string in the target image, and
wherein the processor is configured to extract the value character string by using the position of the key character string.

5 . The information processing apparatus according to claim 2 , wherein the results of acquiring the image corresponding to the key character string comprise information indicating a position of the key character string in the target image, and
wherein the processor is configured to extract the value character string by using the position of the key character string.

6 . The information processing apparatus according to claim 3 , wherein the results of acquiring the image corresponding to the key character string comprise information indicating a position of the key character string in the target image, and
wherein the processor is configured to extract the value character string by using the position of the key character string.

7 . The information processing apparatus according to claim 4 , wherein the processor is configured to:
acquire position information indicating a position of the value character string with respect to the key character string serving as a reference; and extract, by using the position of the key character string, the value character string at the position in the target image indicated by the position information.

8 . The information processing apparatus according to claim 5 , wherein the processor is configured to:
acquire position information indicating a position of the value character string with respect to the key character string serving as a reference; and extract, by using the position of the key character string, the value character string at the position in the target image indicated by the position information.

9 . The information processing apparatus according to claim 6 , wherein the processor is configured to:
acquire position information indicating a position of the value character string with respect to the key character string serving as a reference; and extract, by using the position of the key character string, the value character string at the position in the target image indicated by the position information.

10 . The information processing apparatus according to claim 1 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

11 . The information processing apparatus according to claim 2 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

12 . The information processing apparatus according to claim 3 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

13 . The information processing apparatus according to claim 4 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

14 . The information processing apparatus according to claim 5 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

15 . The information processing apparatus according to claim 6 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

16 . The information processing apparatus according to claim 7 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

17 . The information processing apparatus according to claim 8 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

18 . The information processing apparatus according to claim 9 , wherein the processor is configured to:
derive a degree of certainty of the value character string; and output the extracted value character string in accordance with the degree of certainty.

19 . The information processing apparatus according to claim 10 , wherein the processor is configured to derive the degree of certainty by using the value character string stored beforehand.

20 . A non-transitory computer readable medium storing a program causing a computer to execute a process for processing information, the process comprising:
acquiring an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings; extracting, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and outputting the key character string and the value character string corresponding to the key character string.

Assignees

• Fujifilm Business Innovation Corp

Inventors

• Tatsumi Daisuke
• Ueda Manabu
• Abe Akane
• Ando Jun

Classifications

• G06V30/10

  Character recognition · CPC title

• G06V30/412 Primary

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

• G06V10/25

  Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title

• G06V10/82

  using neural networks · CPC title

• G06K9/00442 Primary

  Physics · mapped topic