Handwritten sample picture label method, device, computer device and storage medium

A sample picture and computer program technology, applied in the computer field, can solve the problems of low accuracy and completeness of labeling content, low efficiency of handwritten sample labeling, etc., to improve generation efficiency, improve completeness and accuracy, and improve labeling efficiency Effect

Pending Publication Date: 2019-03-26
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a handwritten sample picture labeling method, device, computer equipment, and stora

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  • Handwritten sample picture label method, device, computer device and storage medium
  • Handwritten sample picture label method, device, computer device and storage medium
  • Handwritten sample picture label method, device, computer device and storage medium

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0032] The handwriting sample image labeling method provided in this application can be applied on the server side, and the server side can be implemented by an independent server or a server cluster composed of multiple servers.

[0033] In one embodiment, as figure 1 As shown, a handwritten sample image labeling method is provided, which is described in detail as follows:

[0034] S1: Obtain the image of the handwritten sample to be annotated and th...

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PUM

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Abstract

The invention discloses a handwritten sample picture marking method, device, a computer device and a storage medium. The method comprises the following steps: obtaining a handwritten sample picture tobe annotated and a text content of handwritten text contained in the handwritten sample picture; Carrying out image preprocessing on the hand-written sample picture to obtain a binary image corresponding to the hand-written sample picture, and obtaining a picture size of the binary image; According to the pixel value of each pixel point in the binary image, determining the corresponding target pixel point of the handwritten text in the binary image, and obtaining the relative position information of the handwritten text in the handwritten sample picture according to the target pixel point; Setting the picture name of the handwritten sample picture; Combining the picture name, the text content, the relative position information and the picture size, the labeling information of the handwritten sample picture to be labeled is obtained. The technical proposal of the invention improves the labeling efficiency of the sample and the integrity and accuracy of the labeling content.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a handwriting sample picture labeling method, device, computer equipment and storage medium. Background technique [0002] In the research of handwritten text recognition, it is necessary to prepare a large number of handwritten samples to support the model training of the handwritten text recognition model. [0003] However, the current handwritten samples are often collected manually. Due to the wide variety of handwritten samples, the workload of manually collecting handwritten samples is large. After a large number of handwritten samples are collected manually, a lot of time and effort are required. Efforts are made to label the collected handwritten samples, which leads to low labeling efficiency of handwritten samples and low efficiency of generating handwritten samples for model training and testing. At the same time, manual labeling cannot guarantee the accuracy...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/38
CPCG06V30/153G06V10/28G06V30/10
Inventor 金晨刘克亮
Owner PING AN TECH (SHENZHEN) CO LTD
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