Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function

An energy function and sorting machine technology, applied in the field of image processing, can solve problems such as easy recognition, poor real-time performance, and high algorithm complexity, and achieve high recognition rate, stable and reliable recognition rate

Inactive Publication Date: 2011-11-09
HARBIN INST OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Through the analysis of these two methods, it can be seen that the algorithm of the former has high complexity, poor real-time performance and few types of classification; the neural network method of the latter has been widely used in the banknote sorting system, but due to the A fatal shortcoming is that it is easy to over-identify, that is, because the learning machine is too complex, in order to ensure high classification accuracy (low experience risk), the VC dimension will become very large, resulting in high expected risk
In the end, the learned samples have a high recognition rate, but the unlearned samples will be misrecognized or rejected.

Method used

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  • Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function
  • Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function
  • Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function

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Embodiment 1

[0032] Embodiment 1: A method for detecting old and new banknotes in a sorting machine based on the banknote degradation energy function of the present invention. Firstly, a reference image template is established, and then the banknote images are registered. During the image registration process, geometric features are used for global registration. ;Use the color diffusion model for local registration; finally, detect the incomplete and old and new features according to the registration results, and evaluate the new and old and incomplete banknotes according to the BDE function, the steps are as follows:

[0033] Step 1: Setting up a reference image template

[0034] For different types of banknotes, according to the degree of wear and tear of the banknotes, they are divided into 5 grades: brand new, ATM suitable, negotiable, non-circulatory, and severely worn. In each grade, banknotes with flat surfaces and no obvious distortion are selected as samples, and color diffusion is...

Embodiment 2

[0050] Example 2: Combining Figure 1-Figure 6 , The main technical difficulties in the detection of new, old and incomplete banknotes are: low image resolution and high requirements for recognition speed. Aiming at the deficiencies in the prior art, the purpose of the present invention is to propose a method for detecting newness and incompleteness of banknotes based on image registration of banknote degradation energy functions. There are certain errors in the paper size of the banknotes and the printing position of the ink. In addition to the influence of factors such as temperature, humidity, and creases, there are obvious size differences between the banknote images. During the image acquisition process, banknotes are also tilted at different angles. Therefore image registration is necessary. Considering the speed requirements and image characteristics of banknote analysis, the following registration methods are used:

[0051] In actual banknote sorting equipment, high...

Embodiment 3

[0085] Embodiment 3: In the banknote image registration process, first perform global registration according to the clear geometric features of banknotes, then use the color diffusion model to perform local registration, and finally detect stains and new and old features, and use the BDE function to classify the new and old RMB banknotes. Incomplete assessment. Proceed as follows:

[0086] ①Refer to the establishment of the image template.

[0087] For different types of banknotes, the training samples are divided into five grades: brand new, ATM applicable, negotiable, non-negotiable, and severely worn according to the degree of wear. In each level, banknotes with flat face and no obvious distortion are selected as samples, and the color diffusion model is used to register the samples to obtain the corresponding relationship between the pixels of the samples, and then the degradation sequence of banknotes is obtained by statistics and interpolation, using g= 0, 1, 2, 3, 4 ...

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Abstract

The invention provides a method for detecting old and new as well as deformity of paper currency by a sorting machine based on a paper currency degeneration energy function. The aim of the method provided by the invention is realized through the following steps: firstly establishing a reference image template; then registering paper currency images; carrying out global registration by utilizing geometrical characteristics in the process of image registration; carrying out partial registration by utilizing a color diffusion model; and detecting the deformity as well as old and new characteristics according to the registration result, and estimating the old and new as well as deformity of the paper currency according to a BDE (basic data exchange) function. The method provided by the invention comprises the following steps: establishment of the reference image template, global registration of images, partial registration of images, and estimation on the old and new as well as deformity of the paper currency according to the BDE function. The method for detecting the old and new as well as deformity of the paper currency by the sorting machine based on the paper currency degeneration energy function has the advantages of high recognition rate, stability and reliability; and the method provided by the invention can meet practical requirements and is applied to a practical paper currency sorting system.

Description

(1) Technical field [0001] The invention relates to image processing technology, in particular to a method for detecting old and new banknotes in a sorting machine based on the banknote degradation energy function. (2) Background technology [0002] With the continuous prosperity of the market economy, the circulation of banknotes is increasing. Workloads for banking and retail workers are also getting bigger. Banknote image recognition is an active topic in the field of pattern recognition in recent years, and has a broad application prospect. The banknote sorting machine developed by this technology is playing an increasingly important role in financial systems such as banks. It is used with bank tellers The small banknote counting machine is mainly used for currency identification and counterfeit identification. The banknote sorting machine is mainly used for new and old and incomplete detection in the background of sub-branches or treasuries. The core technology of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 唐降龙程丹松金野刘家锋刘鹏吴锐刘松波黄剑华佟喜峰黄庆成赵巍
Owner HARBIN INST OF TECH
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