Bank card recognition model training method, bank card recognition method and device

A technology of recognition model and training method, applied in the field of image recognition, can solve the problem of inability to accurately determine the location of bank cards, and achieve the effect of eliminating the influence of text detection and text recognition, and improving the speed and accuracy.

Inactive Publication Date: 2020-05-26
MASHANG CONSUMER FINANCE CO LTD
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the above method has brought subversive effects compared with manual input, when the bank card is in a complex environment, it cannot accurately determine the position of the bank card

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bank card recognition model training method, bank card recognition method and device
  • Bank card recognition model training method, bank card recognition method and device
  • Bank card recognition model training method, bank card recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0030] This application utilizes a bank card identification model to quickly and accurately identify bank cards without manual participation.

[0031] The bank card recognition model of this application is based on the deep learning regression model as the initial model. Among them, the deep learning regression model is fine-tuned on the object detection model YOLO model. The fine-tuning specifically includes replacing the fully connected layer in the basic network architecture wit...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a bank card recognition model training method and a bank card recognition method and device. The bank card recognition method comprises the steps of obtaining a to-be-detectedimage; detecting whether the to-be-detected image is a bank card image with a Unionpay mark or not through a bank card recognition model; and if the to-be-detected image is a bank card image with a Unionpay mark, outputting the position information of the bank card and the image category prediction probability. By means of the mode, the bank card can be quickly positioned and recognized.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a bank card recognition model training method, bank card recognition method and device. Background technique [0002] With the rapid development of Internet finance, the business volume of mobile payment has surged, and how to efficiently handle bank card binding operations has become very important. The traditional card binding operation requires the user to choose the bank and card number of the bank card. The steps are cumbersome and the user experience is poor. [0003] The existing identification method for bank cards is to convert the three-channel color image into a single-channel gray-scale image by first obtaining the image containing the bank card, performing Gaussian blurring, denoising, smoothing, and grayscale processing. It is convenient for follow-up processing. Then, Canny edge detection is carried out, and the edge of the entire bank card is...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/217G06F18/214
Inventor 沈程隆赵立军
Owner MASHANG CONSUMER FINANCE CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap