Paper currency recognition method and system

A banknote identification and banknote technology, applied in the field of banknote identification methods and systems, can solve the problems of large amount of detection and calculation, slow detection speed, etc., and achieve the effects of accurate detection results, improved detection speed, and reduced interference factors.

Active Publication Date: 2015-01-28
SHENZHEN UNIV
View PDF3 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a banknote identification method and system to solve the problem of large amount of detec...

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
  • Paper currency recognition method and system
  • Paper currency recognition method and system
  • Paper currency recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0065] The present invention is based on accelerated robust feature (SURF) and model matching to detect the SURF feature points of each infrared anti-counterfeiting feature area of ​​the banknote to be tested, and then match it with the corresponding feature model of the genuine banknote sample, thereby realizing the determination of the authenticity of the banknote to be tested. false purpose. figure 1 A schematic flow chart of the banknote identification method provided by the embodiment of the present invention is shown. according to figure 1 As shown, the banknote identification method includes the following steps:

[0066] Step S1: Obtain an infrared image of the banknote to be tested;

[0067] Step S2: Locate each infrared anti-counterfeit...

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 relates to the technical field of image processing, in particular to a paper currency recognition method and system. On the basis of a speeded-up robust feature (SURF) and model matching, each infrared anti-counterfeiting feature area of paper currency to be tested is subjected to SURF point detection, and then, the infrared anti-counterfeiting feature area is matched with a corresponding feature model of a real paper currency sample so as to realize a purpose of judging the authenticity of the paper currency to be tested. Compared with the prior art, the invention avoids detection to areas which do not exhibit practical meanings to a detection result on the paper currency, interference factors are reduced, and a detection result is more accurate. Meanwhile, detection calculated amount is reduced, and detection speed is quickened.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a banknote identification method and system. Background technique [0002] In the field of banknote anti-counterfeiting detection, the general anti-counterfeiting detection method is to perform anti-counterfeiting detection on the whole banknote. This algorithm ensures that all security features of banknotes are covered. However, the anti-counterfeiting points of banknotes are concentrated in several main feature areas. As long as these main feature areas can be accurately detected, accurate detection results can be obtained. In fact, the detection of other areas on banknotes is not too important. Practical significance. Therefore, compared to the detection of several main feature areas in the banknote, the detection of the whole banknote will not only increase the amount of detection calculations and reduce the detection speed, but also , will also introduce more int...

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
IPC IPC(8): G06K9/64G06K9/60
CPCG07D7/2016G07D2207/00G06V2201/05G06F18/22
Inventor 阮双琛胡学娟郭春雨黄锦辉刘承香张敏
Owner SHENZHEN UNIV
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