公开(公告)号：US20230034236A1

公开(公告)日：2023-02-02

申请号：US17814322

申请日：2022-07-22

Applicant: KYOCERA Document Solutions Inc.

Inventor： Koji SATO ,  Hiroka ITANI ,  Shiro KANEKO ,  Naomichi HIGASHIYAMA

IPC: G06T7/00 ,  G06V10/22 ,  G06V10/44 ,  G06V10/98 ,  G06V10/771

Abstract: An abnormality detection unit detects an abnormal object in target images repeatedly acquired. An abnormality type selection unit selects, for each of the target images, an abnormality type of the abnormal object from a plurality of specific abnormality types based on values of at least two basic feature amounts. A feature amount monitoring unit monitors the values of the basic feature amounts and a value of an auxiliary feature amount corresponding to the abnormality type currently selected by the abnormality type selection unit. An adjustment processing unit executes an adjustment process corresponding to the auxiliary feature amount being monitored by the feature amount monitoring unit. The abnormality type selection unit changes the abnormality type to be selected, in accordance with the change in the values of the basic feature amounts mentioned above.

公开(公告)号：US20250029414A1

公开(公告)日：2025-01-23

申请号：US18776386

申请日：2024-07-18

Applicant: KYOCERA Document Solutions Inc.

Inventor： Kota KAMISONO ,  Kunihiko TANAKA ,  Naomichi HIGASHIYAMA ,  Noa KANEDA

IPC: G06V30/412 ,  G06V30/416

Abstract: In an image reading apparatus, the image reading apparatus reads a document bundle to acquire a document image, and determines a first page of the document image according to the selected division method by a user. A page number recognizer extracts a page number from the document image by executing page number recognition processing, and determines the document image indicating a first page to be a first page of the document. A layout recognizer detects a marginal area or background color from the document image by executing layout recognition processing, and determines the first page of the document. A title recognizer extracts a title by executing title recognition processing and determines the first page of the document. A divider divides the document image into documents on the basis of the determined first page, converts the divided document images into files, and stores the files in a storage device.

公开(公告)号：US20250029416A1

公开(公告)日：2025-01-23

申请号：US18770714

申请日：2024-07-12

Applicant: KYOCERA Document Solutions Inc.

Inventor： Naomichi HIGASHIYAMA ,  Kunihiko TANAKA ,  Kota KAMISONO ,  Noa KANEDA

IPC: G06V30/414 ,  G06V10/44 ,  G06V20/70 ,  G06V30/10

Abstract: In an image reading apparatus, a character area extractor extracts character areas from a document image in units of rows. A title reliability calculator calculates a title reliability level of each character area using a feature quantity data set and a machine learning model. A character recognizer converts character areas of which title reliability levels exceed a threshold into text data. A title judger collates text data with a title candidate. In a case in which one piece of text data coinciding with a title candidate is judged and detected, the title judger sets the text data as a title of the document image. In a case in which a plurality of pieces of coinciding text data are judged and detected, the title judger sets text data of which a title reliability level is the highest among the detected pieces of text data as a title of the document image.

公开(公告)号：US20230033875A1

公开(公告)日：2023-02-02

申请号：US17814030

申请日：2022-07-21

Applicant: KYOCERA Document Solutions Inc.

Inventor： Takuya MIYAMOTO ,  Kanako MORIMOTO ,  Rui HAMABE ,  Shiro KANEKO ,  Naomichi HIGASHIYAMA

IPC: G06V10/77 ,  G06V10/26

Abstract: A feature-amount extraction unit generates a base feature-map group constituted by a plurality of base feature maps from an input image, applies a plurality of statistic calculations to the base feature maps in the base feature-map group, and generates a plurality of types of statistic maps. The inference unit derives inference results of segmentation for inference inputs based on the plurality of statistic maps. Each of the plurality of types of statistic calculations described above is processing of calculating a statistic with a specific window size and a specific calculation formula, and the plurality of types of statistic calculations are different from each other in at least either one of the window size and the calculation formula.

公开(公告)号：US20220207853A1

公开(公告)日：2022-06-30

申请号：US17563355

申请日：2021-12-28

Applicant: KYOCERA Document Solutions Inc.

Inventor： Takuya MIYAMOTO ,  Kazunori TANAKA ,  Kanako MORIMOTO ,  Rui HAMABE ,  Naomichi HIGASHIYAMA

IPC: G06V10/422 ,  G06V10/77 ,  G06N20/00

Abstract: An image recognition method includes a feature amount extracting step of generating, from an input image, a base feature map group including a plurality of base feature maps; an inferring step of deriving a plurality of inference results using each of a plurality of machine-learned inference devices for a plurality of inference inputs based on the base feature map group; and an integrating step of integrating the plurality of inference results by a specific manner to derive a final inference result, where each of the plurality of inference inputs has some or all base feature maps of the plurality of base feature maps, and each of the plurality of inference inputs has the some or all base feature maps that are different in part or whole from the some or all base feature maps of another inference input in the plurality of inference inputs.