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Handwritten sample generation method, apparatus, computer device, and storage medium

A technology for generating devices and samples, which is applied in the computer field, can solve the problems of high collection cost of handwritten samples, affect the recognition accuracy of handwritten text recognition models, and low collection efficiency, so as to improve recognition accuracy, reduce collection costs, and improve collection efficiency Effect

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

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a handwritten sample generation method, device, computer equipment, and storage medium to solve the current problems of high collection cost and low collection efficiency of handwritten samples, which affect the recognition accuracy of handwritten text recognition models

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  • Handwritten sample generation method, apparatus, computer device, and storage medium
  • Handwritten sample generation method, apparatus, computer device, and storage medium
  • Handwritten sample generation method, apparatus, computer device, and storage medium

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Embodiment Construction

[0033] 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.

[0034] The handwriting sample generation method provided in this application can be applied on the server side, and the server side can be realized by an independent server or a server cluster composed of multiple servers.

[0035] In one embodiment, as figure 1 As shown, a handwritten sample generation method is provided, which is detailed as follows:

[0036] S1: Obtain a font file in a preset handwriting input method, and save the font file in a pr...

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Abstract

The invention discloses a handwritten sample generation method and apparatus, a computer device and a storage medium. The method comprises the following steps of: obtaining a font file in a handwriting input method; Obtaining a text corpus file; Draw the canvas according to the preset picture size and set the background color of the canvas; Extracting corpus text from preset corpus database and selecting target font file from preset font library; comverting The corpus text into handwritten text corresponding to the target font file by using the target font file; Determining a text size of thehandwritten text according to the canvas size and the handwritten text; According to the text size of the handwritten text, drawing the handwritten text on the canvas to obtain a handwritten sample picture; saving Handwritten sample pictures and corpus text are into the handwritten sample dataset as handwritten samples. The technical proposal of the invention improves the collection efficiency ofthe handwriting sample and can enrich the sample quantity of the handwriting sample, thereby effectively improving the recognition accuracy rate of the handwriting text recognition model.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for generating handwriting samples. 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. At the same time, it takes a lot of time to clean the collected handwritten samples, resulting in handwritten The collection efficiency of samples is low, and the number of manual collections is limited, which cannot well support the model training of the handwritten text recognition model, making model training difficult, which in turn affects the recognition accuracy of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/68G06F16/36
CPCG06V30/2455
Inventor 金晨刘克亮
Owner PING AN TECH (SHENZHEN) CO LTD