基于光谱融合的掌纹精细纹路提取

doi:10.13229/j.cnki.jdxbgxb201504036

吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (4): 1274-1280.doi: 10.13229/j.cnki.jdxbgxb201504036

基于光谱融合的掌纹精细纹路提取

康冰, 刘富, 魏祺韡

吉林大学通信工程学院,长春 130022

收稿日期:2014-03-26 出版日期:2015-07-01 发布日期:2015-07-01
通讯作者: 刘富(1968-),男,教授,博士生导师.研究方向:计算机视觉及模式识别.E-mail:liufu@jlu.edu.cn
作者简介:康冰(1978-)男,博士研究生.研究方向:计算机视觉及模式识别.E-mail:kangbing@jlu.edu.cn
基金资助:
国家自然科学基金项目(51105170); 吉林省科技厅2013年青年科研基金项目(20130522163JH)

Palmprint fine line feature extraction based on spectral fusion

KANG Bing, LIU Fu, WEI Qi-wei

College of Communications Engineering, Jilin University, Changchun 130022,China

Received:2014-03-26 Online:2015-07-01 Published:2015-07-01

摘要/Abstract

摘要： 针对掌纹中浅而细小的精细纹路,提出一种光谱融合的非下采样Contourlet变换(NSCT)与数学形态学细化相结合的掌纹线特征提取方法。该方法先对不同光谱下的掌纹图像分别进行NSCT分解,根据精细纹路特点处理子带系数矩阵,结合光谱特点融合各系数,逆变换后进行形态学细化得到掌纹精细纹路特征。使用自行采集的多光谱掌纹图像实验表明,本文方法提取出的浅而细小的掌纹精细纹路更清晰丰富。

关键词: 计算机应用, 精细纹路特征, 非下采样Contourlet变换, 多光谱掌纹

Abstract: Classical palmprint feature extraction algorithms can not extract the shallow fine lines in a better way. To solve this problem an algorithm based on Non-Subsampled Contourlet Transform (NSCT) and mathematical morphology multispectral palmprint line feature extraction is proposed. First, NSCT is used to obtain multi-directions, multi-scales and sub-bands are selected and strengthened according to the shallow fine line characteristics. Then, in light of the spectral characteristics, the coefficients are fused and NSCT inverse transformation is made. Finally, using morphological thinning treatment, the shallow fine palm lines are obtained. Experiments using multispectral palmprint image acquired from self-collected palmprint database show that the propose algorithm can extract shallow fine lines more clearly and abundant.

Key words: computer application, fine lines feature, NSCT, multispectral palmprint

中图分类号:

TP399

康冰, 刘富, 魏祺韡. 基于光谱融合的掌纹精细纹路提取[J]. 吉林大学学报(工学版), 2015, 45(4): 1274-1280.

KANG Bing, LIU Fu, WEI Qi-wei. Palmprint fine line feature extraction based on spectral fusion[J]. 吉林大学学报(工学版), 2015, 45(4): 1274-1280.

参考文献

[1] 邬向前,李乃民,张大鹏,等. 掌纹纹线提取及病理纹的识别[C]∥计算机在诊法中的应用与研究论文汇编,哈尔滨:哈尔滨工业大学计算机科学技术学院计算机生物信息中心,中国人民解放军211医院,2005:227-230.
[2] Zhang Da-peng, Shu Wei. Two novel characteristics in palmprint verification: datum point invariance and line feature matching[J]. Pattern Recognition,1999,32(4):691-702.
[3] Wu Xiang-qian, Wang Kuan-quan, Zhang David. A novel approach of palm-line extraction[C]∥Proceedings of the Third International Conference on Image and Graphics,USA, 2004:230-233.
[4] Li Wen-xin, Zhang David, Xu Zhuo-qun. Palmprint recognition based on fourier transform[J].Journal of Software, 2002,13(5):879-886.
[5] 陈丽燕,陈建华. 基于非下采样轮廓波的图像检索[J]. 福州大学学报:自然科学版, 2012,40(2):172-175. Chen Li-yan, Chen Jian-hua. Image retrieval based on nonsubsampled contourlet[J]. Journal of Fuzhou University (Natural Science Edition) ,2012,40(2):172-175.
[6] Do M N,Vetterli M.Contourlets:a directional multisolution image representation[C]∥Proc of IEEE Int Conf on Image Processing,Rochester,USA,2002:357-360.
[7] 崔玲玲,卢朝阳,李静,等. 基于非下采样Contourlet域高斯混合模型的布匹瑕疵识别算法[J]. 吉林大学学报:工学版,2013,43(3):734-739. Cui Ling-ling, Lu Chao-yang, Li Jing, et al. Fabric defect recognition algorithm based on Gaussian mixture model in nonsubsampled Contourlet domain[J]. Journal of Jilin University (Engineering and Technology Edition), 2013,43(3):734-739.
[8] 李杰,彭月英,元昌安,等. 基于数学形态学细化算法的图像边缘细化[J]. 计算机应用, 2012,32(2): 514-516,520. Li Jie, Peng Yue-ying, Yuan Chang-an, et al. Edge thinning based on mathematical morphology thinning algorithm[J]. Journal of Computer Applications, 2012, 32(2):514-516,520.
[9] 徐兴鹏. 基于四元数模型的多光谱掌纹识别[D]. 哈尔滨: 哈尔滨工业大学,计算机科学与技术学院,2010.
Xu Xing-peng.Multispectral palmprint recognition using the quaternion mode[D]. Harbin:Harbin Institute of Technology, College of Computer Science and Technology, 2010.
[10] Abdallah Meraoumia, Salim Chitroub, Ahmed Bouridane. Fusion of multispectral palmprint images for automatic person identification[C]∥Spain Electronics Communications and Photonics Conference (SIECPC), Barcelona,2011:1-6.
[11] Zhang D, Guo Zhen-hua, Lu Guang-ming, et al. An online system of multispectral palmprint verification[J]. IEEE Transactions on Instrumentation and Measurement, 2010,59(2):480-490.
[12] Maurício Ramalho, Sanchit Singh, Paulo Lobato Correia,et al. Secure multi-spectral hand recognition system[C]∥The 19th European Signal Processing Conference (EUSIPCO),Barcelona, Spain, 2011:2269-2273.
[13] Guo Zhen-hua, Zhang D, Zhang Lei, et al. Feature band selection for online multispectral palmprint recognition[J]. IEEE Transactionson on Information Forensics and Security, 2012,7(3):1094-1099.

相关文章 15

[1]	刘富,宗宇轩,康冰,张益萌,林彩霞,赵宏伟. 基于优化纹理特征的手背静脉识别系统[J]. 吉林大学学报(工学版), 2018, 48(6): 1844-1850.
[2]	王利民,刘洋,孙铭会,李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1851-1858.
[3]	金顺福,王宝帅,郝闪闪,贾晓光,霍占强. 基于备用虚拟机同步休眠的云数据中心节能策略及性能[J]. 吉林大学学报(工学版), 2018, 48(6): 1859-1866.
[4]	赵东,孙明玉,朱金龙,于繁华,刘光洁,陈慧灵. 结合粒子群和单纯形的改进飞蛾优化算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1867-1872.
[5]	刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[6]	欧阳丹彤, 范琪. 子句级别语境感知的开放信息抽取方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1563-1570.
[7]	刘富, 兰旭腾, 侯涛, 康冰, 刘云, 林彩霞. 基于优化k-mer频率的宏基因组聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1593-1599.
[8]	桂春, 黄旺星. 基于改进的标签传播算法的网络聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1600-1605.
[9]	刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮. 基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1606-1613.
[10]	刘哲, 徐涛, 宋余庆, 徐春艳. 基于NSCT变换和相似信息鲁棒主成分分析模型的图像融合技术[J]. 吉林大学学报(工学版), 2018, 48(5): 1614-1620.
[11]	车翔玖, 王利, 郭晓新. 基于多尺度特征融合的边界检测算法[J]. 吉林大学学报(工学版), 2018, 48(5): 1621-1628.
[12]	赵宏伟, 刘宇琦, 董立岩, 王玉, 刘陪. 智能交通混合动态路径优化算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[13]	黄辉, 冯西安, 魏燕, 许驰, 陈慧灵. 基于增强核极限学习机的专业选择智能系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[14]	傅文博, 张杰, 陈永乐. 物联网环境下抵抗路由欺骗攻击的网络拓扑发现算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[15]	曹洁, 苏哲, 李晓旭. 基于Corr-LDA模型的图像标注方法[J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

基于光谱融合的掌纹精细纹路提取

Palmprint fine line feature extraction based on spectral fusion

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10