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Handwriting-key-point-based financial behavior prediction method, apparatus, and electronic device

A technology of key points and handwriting, applied in the field of financial behavior prediction based on key points of handwriting, can solve problems such as customer recommendation of financial products, achieve accurate recommendations, reduce marketing costs, and increase transaction turnover rates

Pending Publication Date: 2019-01-29
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a method, device, electronic device, and computer-readable storage medium for predicting financial behavior based on key points of handwriting, which can solve the problem of how to accurately recommend financial products to customers

Method used

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  • Handwriting-key-point-based financial behavior prediction method, apparatus, and electronic device
  • Handwriting-key-point-based financial behavior prediction method, apparatus, and electronic device
  • Handwriting-key-point-based financial behavior prediction method, apparatus, and electronic device

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Embodiment 1

[0031] The embodiment of this application provides a method for predicting financial behavior based on key points of handwriting, such as figure 1 As shown, the method includes:

[0032] Step S101, identifying the text in the customer's handwriting picture and the key points used to determine the structure of the text, and extracting the position information of the key points in the handwriting picture;

[0033] Step S102, determining handwriting features used to characterize writing habits according to the location information of key points;

[0034] Step S103 , determining the customer's financial behavior prediction information according to the preset correspondence between handwriting features and financial behaviors and the handwriting features.

[0035] Wherein, the text in the handwriting picture is recognized by an existing text recognition method, such as OCR (Optical Character Recognition, optical character recognition).

[0036] Wherein, each stroke of the text in...

Embodiment 2

[0041] The embodiment of the present application provides another possible implementation manner, which further includes the method shown in the second embodiment on the basis of the first embodiment.

[0042] Wherein, step S101 includes:

[0043] Step S1010, recognizing the text in the customer's handwriting picture.

[0044] Step S1011, dividing the customer's handwriting picture into sub-pictures containing only a single character.

[0045] Step S1012, input the sub-graph into the key point prediction model, and obtain the key points corresponding to the characters in the sub-graph.

[0046] Step S1013, according to the positional relationship between the sub-picture and the handwriting picture, determine the position information of the key point of the sub-picture in the handwriting picture.

[0047] Before identifying the key points, the handwriting picture containing multiple texts is first divided into multiple sub-graphs containing only a single text, and the key poi...

Embodiment 3

[0104] The embodiment of the present application provides a financial behavior prediction device based on key points of handwriting, such as figure 2 As shown, the financial behavior prediction device 20 based on handwriting key points can include:

[0105] The key point extraction module 201 is used to identify the text in the customer's handwriting picture and the key points used to determine the structure of the text, and extract the position information of the key points in the handwriting picture;

[0106] Handwriting feature extraction module 202, for determining the handwriting feature used to characterize writing habits according to the positional information of key points;

[0107] The financial behavior prediction module 203 is configured to determine the customer's financial behavior prediction information according to the preset correspondence between handwriting features and financial behaviors and the handwriting features.

[0108] The financial behavior predic...

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Abstract

Embodiments of the present application provide a method, apparatus, and electronic device for predicting financial behavior based on handwriting key points. The method comprises the following steps: identifying the text in the handwriting picture of the customer and the key points used for determining the structure of the text, and extracting the position information of the key points in the handwriting picture; determining handwriting characteristics used to characterize handwriting habits according to the position information of key points; according to the preset handwriting characteristicsand the corresponding relationship between financial behavior and handwriting characteristics to determine the customer 's financial behavior prediction information. Embodiments of the present application identify key points of customer signatures by key point identification techniques, by analyzing the position information of the key points, the handwriting characteristics that characterize theuser's writing habits are obtained. Then, according to the handwriting characteristics that can reflect the customer's financial behavior, the possible financial behavior of the customer is predicted,and the appropriate financial products are recommended to the users, so as to realize the accurate recommendation of the financial products, which helps to improve the transaction rate and reduce themarketing cost at the same time.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, specifically, the present invention relates to a financial behavior prediction method, device and electronic equipment based on key points of handwriting. Background technique [0002] Traditional financial product recommendations mostly use manual recommendation. During the sales process, the salesperson needs to further understand the customer's personality, risk tolerance and other information through chat and other means, so as to recommend suitable financial products to the user. However, most of the existing salespersons obviously lack relevant psychological knowledge and analysis ability, which makes the salespersons unable to analyze the customer's personality effectively and accurately. In the process of sales promotion, if the communication method of the salesperson is not appropriate, it may also cause resistance from customers, which is not conducive to produ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V30/333G06V30/347G06V30/36
Inventor 解笑徐国强邱寒
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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