Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition

Shan GAI

doi:10.11959/j.issn.1000-436x.2018285

您当前的位置：

首页 >

文章列表页 >

Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition

Papers | 更新时间：2024-06-05

- Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition
- Journal on Communications Vol. 39, Issue 12, Pages: 40-46(2018)
- 作者机构：
  
  南昌航空大学信息工程学院，江西南昌 330063
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(No.61563037);The Outstanding Youth Scheme of Jiangxi Province(No.20171BCB23057);The Natural Science Foundation of Jiangxi Province(No.20171BAB202018)
- DOI：10.11959/j.issn.1000-436x.2018285
  CLC： TN92
- Online First：2018-12，
  
  Published：25 December 2018
- 稿件说明：
移动端阅览
Shan GAI. Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition[J]. Journal on Communications, 2018, 39(12): 40-46.
DOI：

Shan GAI. Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition[J]. Journal on Communications, 2018, 39(12): 40-46. DOI： 10.11959/j.issn.1000-436x.2018285.

摘要

针对目前纸币图像特征提取与分析方法缺少对相位结构信息有效描述的问题，提出一种基于四元共空间模式的特征提取算法。该算法首先采用四元矩阵描述纸币图像的相位与幅值信息，并对四元复合厄米特协方差矩阵进行对角化；然后将样本向量输入到复合四元滤波器中，并将分解得到的四元矩阵实部与虚部的方差作为纸币特征向量；最后采用神经网络作为分类器并在识别阶段引入拒识类。实验结果表明所提的算法不仅取得了较高的识别率，而且还能够满足纸币清分系统的实时性要求。

Abstract

New feature extraction algorithm was proposed based on quaternion common spatial pattern in order to solve the lack of effective description of phase information in the banknote feature extraction and analysis. Firstly

the quaternion matrix was utilized to describe the phase information of the banknote image

and made diagonalization of quaternion composite Hermitian matrix. Secondly

the sample vector was input to the composite quaternion filter. The extracted feature vector was obtained by using the variance of the real part and imaginary part. Finally

the neural network was applied as classifier and the reject class was introduced in the banknote recognition. The experimental results illustrate that the proposed algorithm obtains high recognition rate and meets the real-time requirement of the banknote recognition system. The proposed algorithm has already been applied in a resource-constrained embedded system at the same time.

关键词

Keywords

references

KATO N , OMACHI S . A handwriting character recognition system using directional element feature [J ] . IEEE Trans on Pattern Analysis and Machine Intelligence , 1999 , 21 ( 3 ): 258 - 262 .

TAKEDA F , OMATU S . Bank note recognition system using neural network with random masks [C ] // World Congress an Neural Networks . 1993 . 241 - 244 .

VIOLA P , JONES M . Rapid object detection using a boosted cascade of simple features [C ] // IEEE International Conference on Computer Vision and Pattern Recognition . 2001 . 511 - 518 .

VIOLA P , JONES M , SNOW D . Detecting pedestrians using patterns of motion and appearance [C ] // International Conference on Computer Vision and pattern recognition . 2003 . 1324 - 1331 .

刘家锋，刘松波，唐降龙 . 一种实时纸币识别方法的研究 [J ] . 计算机研究与发展， 2003 , 40 ( 7 ): 1057 - 1061 .

LIU J F , LIU S B , TANG X L . An algorithm of real-time paper currency recognition [J ] . Journal of Computer Research and Development , 2003 , 40 ( 7 ): 1057 - 1061 .

CHOI E , LEE J , YOON J . Feature extraction for bank note classification using wavelet transform [C ] // International Conference on Pattern Recognition . 2006 , 934 - 937 .

盖杉，刘鹏，刘家锋，等 . 新的纸币图像特征提取方法 [J ] . 通信学报， 2010 , 31 ( 4 ): 128 - 133 .

GAI S , LIU P , LIU J F , et al . New method of banknote feature extraction [J ] . Journal on Communications , 2010 , 31 ( 4 ): 128 - 133 .

GINZBERG P , WALDEN A . Matrix-valued and quaternion wavelets [J ] . IEEE Transactions on Signal Processing , 2013 , 61 ( 6 ): 1357 - 1367 .

XU D , MANDIC D P . The theory of quaternion matrix derivatives [J ] . IEEE Transactions on Signal Processing , 2015 , 63 ( 6 ): 1543 - 1556 .

ENSHAEIFAR S , CHEONG C , PARK C , et al . Quaternion common spatial patterns [J ] . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 2017 , 25 ( 8 ): 1278 - 1286 .

TOOK C C , MANDIC D P , ZHANG F . On the unitary diagonalisation of a special class of quaternion matrices [J ] . Applied Mathematics Letters , 2011 , 24 ( 11 ): 1806 - 1809 .

PARK C , TOOK C , MANDIC D P . Augmented complex common spatial patterns for classification of noncircular EEG from motor imagery tasks [J ] . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 2014 , 22 ( 1 ): 1 - 10 .

Views

1516

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

新的纸币图像特征提取方法

Related Author

盖杉

刘鹏

刘家锋

唐降龙

Related Institution

哈尔滨工业大学计算机科学与技术学院

AI问答

⁰