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Hong Kong dollar texture image version classifying method based on gray-level co-occurrence matrix

A gray-level co-occurrence matrix and Hong Kong dollar technology, which is applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problems of the complexity of Hong Kong dollar version recognition

Inactive Publication Date: 2015-06-17
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The image features and anti-counterfeiting features of banknotes issued by each bank have many similarities, but they are not the same; at the same time, the Hong Kong dollars issued by each bank are divided into 97 editions, 03 editions, 07 editions, 10 editions, etc. There are several versions, which lead to the complexity and challenge of Hong Kong dollar face and version identification

Method used

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  • Hong Kong dollar texture image version classifying method based on gray-level co-occurrence matrix
  • Hong Kong dollar texture image version classifying method based on gray-level co-occurrence matrix
  • Hong Kong dollar texture image version classifying method based on gray-level co-occurrence matrix

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Embodiment 1

[0103] In the present embodiment, collect various versions of Hong Kong dollars (Bank of China, HSBC, Standard Chartered): 1000 yuan, 500 yuan, 100 yuan, 50 yuan denominations of different versions (97 editions, 03 editions, 07 editions, 10 editions) Hong Kong dollar images; 10 white light images and infrared images, normalized to a size of 200*100.

[0104] 1. Construct the given normalized banknote white light image and infrared image as a training sample set S, where images of different versions of Hong Kong dollars are marked as 1 to 12 images of 12 different categories.

[0105] 2. Extract the gray level co-occurrence matrix texture features of the Hong Kong dollar image according to the formula. Calculate and obtain five texture parameters of Hong Kong dollar sample image: entropy (ENT), inverse difference moment (IDM), energy (angular second moment, ASM), contrast (CCW) and correlation coefficient (COR).

[0106] 3. Use the BP neural network to classify the texture fea...

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Abstract

The invention provides a method which can intelligently recognize Hong Kong dollar and quickly recognize Hong Kong dollar versions and relates to a Hong Kong dollar texture image version classifying method based on a gray-level co-occurrence matrix. A sample base is formed by extracting all versions of sample Hong Kong dollars, gray-level co-occurrence matrix characteristics of sample Hong Kong dollar images are extracted, sample is trained by a BP neural network, a Hong Kong dollar version classifying model is obtained, parameters are transplanted into a currency counting and detecting machine, a bill sorting machine and a money depositing and withdrawing machine, texture characteristics parameters, obtained through the gray-level co-occurrence matrix, of paper money to be recognized are inputted into a multispectral currency counting machine, the bill sorting machine and the money depositing and withdrawing machine, proof coin types can be calculated out according to a Hong Kong dollar version classifying model, and namely Hong Kong dollar versions can be judged.

Description

technical field [0001] The invention relates to banknote sorting technology, in particular to a version-segmenting method of a Hong Kong dollar texture image based on a gray scale co-occurrence matrix, which belongs to a method for intelligently identifying the Hong Kong dollar version using computer technology and performing automatic version division. Background technique [0002] In recent years, with the development of my country's economy and the closer exchanges between China and Hong Kong, the trade volume has increased sharply. The Hong Kong dollar has become the second most used currency in my country after the RMB. However, most of the financial machines operating in my country do not support the detection and identification of Hong Kong dollars. Due to historical reasons, Hong Kong dollar banknotes issued by HSBC, Bank of China and Standard Chartered Bank are circulating in the market. The image features and anti-counterfeiting features of banknotes issued by eac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 孙其新尤新革胡庆江
Owner HUAZHONG UNIV OF SCI & TECH
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