公开(公告)号：US12008828B2

公开(公告)日：2024-06-11

申请号：US17485511

申请日：2021-09-27

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06K9/00 ,  G06F16/953 ,  G06V20/62 ,  G06V30/148 ,  G06V30/40 ,  G06V30/413 ,  G06V30/414 ,  G06V30/416 ,  G06V30/418

CPC classification number: G06V30/40 ,  G06F16/953 ,  G06V20/62 ,  G06V30/153 ,  G06V30/413 ,  G06V30/414 ,  G06V30/416 ,  G06V30/418

Abstract: The disclosure provides a receipt identification method, apparatus, electronic device and computer-readable storage medium. The method includes: obtaining (S101) an image of the receipt to be identified; identifying (S102) each row region of the receipt in the image by using a region identification model, wherein the row region is the region where each line of characters is located; identifying (S103) the character content in each row region by using the character identification model; determining (S104) time information, store name and payment amount on the receipt according to the character contents in each row region. The solution provided by the disclosure can automatically identify the relevant information on the receipt.

公开(公告)号：US11966890B2

公开(公告)日：2024-04-23

申请号：US16955784

申请日：2019-08-30

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06V30/148 ,  G06Q20/10 ,  G06T7/10 ,  G06V30/412 ,  G06V30/416 ,  G06V30/10

CPC classification number: G06Q20/102 ,  G06T7/10 ,  G06V30/153 ,  G06V30/412 ,  G06V30/416 ,  G06V30/10

Abstract: The disclosure provides a bill identification method, device, electronic device and a computer-readable storage medium. The method includes: obtaining an image of a bill to be identified; using a pre-trained area identification model to identify a final payment area of the bill in the image; using a pre-trained character identification model to identify the final payment amount in the final payment area. By applying the solution provided by the present disclosure, it is possible to realize automatic identification of the payment amount on the bill, and the efficiency of bill processing is improved.

公开(公告)号：US11663802B2

公开(公告)日：2023-05-30

申请号：US17767448

申请日：2020-09-23

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06V10/22 ,  G06V10/74 ,  G06V40/10

CPC classification number: G06V10/22 ,  G06V10/761 ,  G06V40/10

Abstract: Provided in the present disclosure are an insect identification method and system. The system comprises a client and a server, and the client is connected to the server. The method comprises: the client acquires an image photograph that is captured by a target user and that contains an insect to be identified, acquires an insect region in the image photograph, slices the insect region to obtain an insect image, and sends the insect image to the server; the server identifies the insect image by invoking an insect species identification model deployed in the server, and sends the identification result to the client; and the client pushes the identification result to the target user. By applying the solution provided in the present disclosure, the problem in the prior art in which insect identification is very difficult and has low accuracy may be solved.

公开(公告)号：US11610291B2

公开(公告)日：2023-03-21

申请号：US17343760

申请日：2021-06-10

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06T5/00 ,  G06T7/13

Abstract: An image processing method, an image processing device, an electronic device, and a non-transitory computer readable storage medium are provided. The image processing method includes: obtaining an input image which includes M character rows; performing global correction processing on the input image to obtain an intermediate corrected image; determining the M character row lower boundaries corresponding to the M character rows according to the intermediate corrected image; and determining the local adjustment reference line and M retention coefficient groups based on the intermediate corrected image and the M character row lower boundaries; determining M local adjustment offset groups corresponding to the M character rows according to the M character row lower boundaries, the local adjustment reference line and the M retention coefficient groups; performing local adjustment on the M character rows in the intermediate corrected image according to the M local adjustment offset groups to obtain the target corrected image.

公开(公告)号：US20220060602A1

公开(公告)日：2022-02-24

申请号：US17405040

申请日：2021-08-18

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: H04N1/40 ,  G06T3/40 ,  G06T7/11

Abstract: An image processing method, an image processing device, an electronic apparatus, and a non-transitory computer-readable storage medium are provided. The image processing method includes: obtaining an original image; performing slicing processing on the original image to obtain multiple slice images of the original image; respectively processing the slice images through a first binarization model to obtain multiple slice binary images respectively corresponding to the slice images; performing stitching processing on the slice binary images to obtain a first binary image; processing the first binary image to obtain a pixel circumscribed contour image; processing the original image through a second binarization model to obtain a second binary image; synthesizing the second binary image and the first binary image according to positions of multiple circumscribed contour pixels in the pixel circumscribed contour image to obtain a synthetic image.

公开(公告)号：USD918250S1

公开(公告)日：2021-05-04

申请号：US29762059

申请日：2020-12-15

Applicant: Hangzhou Glority Software Limited

Designer： Qingsong Xu ,  Qing Li

公开(公告)号：US20230267619A1

公开(公告)日：2023-08-24

申请号：US17637801

申请日：2021-08-30

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06T7/13 ,  G06V10/44 ,  G06V10/74

CPC classification number: G06T7/13 ,  G06V10/44 ,  G06V10/761 ,  G06T2207/20084 ,  G06T2207/20164

Abstract: A method and system of recognizing object edges and a computer-readable storage medium are provided. The method includes: obtaining an input image, where edges of an object in the input image includes a plurality of object vertices; recognizing, through an object vertex recognition model, the input image and obtaining a relative position of each object vertex and a corresponding image vertex thereof; determining a reference position of each object vertex in the input image according to the relative position of each object vertex and the corresponding image vertex thereof; performing corner point detection in a predetermined area where the reference position of the object vertex is located for each object vertex; determining an actual position of each object vertex in the input image according to a result of the corner point detection; and sequentially connecting adjacent object vertices to form edge lines to obtain the edges of the object with edges in the input image according to the actual position of each object vertex in the input image. By applying the solution provided by the disclosure, the edges of the object with edges may be detected in the image.

公开(公告)号：US20230222631A1

公开(公告)日：2023-07-13

申请号：US17915488

申请日：2021-02-09

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06T5/00 ,  G06T7/11 ,  G06T7/13 ,  G06V10/28

CPC classification number: G06T5/005 ,  G06T5/002 ,  G06T7/11 ,  G06T7/13 ,  G06V10/28

Abstract: Provided by the present disclosure are a method and device for removing handwritten content from a text image, and a storage medium. The method for removing handwritten content from a text image comprises: acquiring an input image of a text page to be processed, wherein the input image comprises a handwritten area, and the handwritten area comprises the handwritten content; using an image segmentation model to recognize the input image so as to obtain an initial handwritten pixel of the handwritten content; performing blurring processing on the initial handwritten pixel to obtain a handwritten pixel mask area; determining the handwritten content according to the handwritten pixel mask area; and removing the handwritten content from the input image to obtain an output image.

公开(公告)号：US11636604B2

公开(公告)日：2023-04-25

申请号：US16981293

申请日：2019-08-30

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06T7/13 ,  G06T7/136 ,  G06T7/181 ,  G06V30/16

Abstract: The invention provides an edge detection method and a device of an object in an image, an electronic equipment, and a computer-readable storage medium. The method includes: a line drawing of a grayscale contour in the image is obtained; similar lines in the line drawing are merged to obtain initial merged lines, and a boundary matrix is determined according to the initial merged lines; similar lines in the initial merged lines are merged to obtain target lines, and unmerged initial merged lines are also used as target lines; reference boundary lines are determined from the target lines according to the boundary matrix; boundary line regions of the object in the image are obtained; a target boundary line corresponding to the boundary line region is determined from the reference boundary lines; an edge of the object in the image is determined according to the determined target boundary lines.

公开(公告)号：US11361570B2

公开(公告)日：2022-06-14

申请号：US17216669

申请日：2021-03-29

Applicant: Hangzhou Glority Software Limited

Inventor： Qingsong Xu ,  Qing Li

IPC: G06V30/414 ,  G06V30/148 ,  G06V30/413 ,  G06V30/418 ,  G06F16/953 ,  G06V30/416 ,  G06V20/62 ,  G06V30/10

Abstract: A receipt identification method, an apparatus, a device, and a storage medium are provided. The method includes: obtaining a receipt image; identifying the receipt image by using a region identification model to obtain character regions; utilizing a character identification model to identify the character regions to obtain character contents; and determining receipt information according to the character contents. The step of determining receipt information according to the character contents includes: determining N keyword character regions corresponding to N preset keywords; determining M candidate character regions corresponding to the N keyword character regions; utilizing a scoring model to score based on the distance and the deviation angle between the N keyword character regions and the M candidate character regions in the receipt image, so as to determine Q character contents corresponding to the N preset keywords; and determining target information in the receipt information according to the Q character contents.