[1]王科俊,刘靖宇,马慧,等.手指静脉图像质量评价[J].智能系统学报,2011,6(04):324-327.
 WANG Kejun,LIU Jingyu,MA Hui,et al.A finger vein image quality assessment method[J].CAAI Transactions on Intelligent Systems,2011,6(04):324-327.
点击复制

手指静脉图像质量评价(/HTML)
分享到:

《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第6卷
期数:
2011年04期
页码:
324-327
栏目:
学术论文—智能系统
出版日期:
2011-08-25

文章信息/Info

Title:
A finger vein image quality assessment method
文章编号:
1673-4785(2011)04-0324-04
作者:
王科俊刘靖宇马慧李雪峰
哈尔滨工程大学 自动化学院,黑龙江 哈尔滨 150001
Author(s):
WANG Kejun LIU Jingyu MA Hui LI Xuefeng
College of Automation, Harbin Engineering University, Harbin 150001, China
关键词:
静脉图像图像质量评价有效区域对比度位置偏移度模糊度信息熵
Keywords:
vein images image quality assessment effective region contrast position offset ambiguity information entropy
分类号:
TP391.41
文献标志码:
A
摘要:
根据手指静脉图像本身的特征,首次提出了手指静脉图像质量评价方法.在分析人类视觉系统(HVS)性能的基础上,将图像有效区域、对比度、位置偏移度、模糊度、信息熵作为评价手指静脉图像质量的参数.并综合分析这些参数,加权获得静脉图像总质量评价函数.实验表明,得到了与主观评价结果相一致的客观评价值.
Abstract:
According to the features of finger vein images, a new evaluation method of image quality was proposed in this paper. On the basis of the analysis of the Human Visual System (HVS) function, the image properties such as effective region, image contrast, position offset, fuzzy degree, and information entropy were utilized as the parameters of finger vein image quality assessment. Then an evaluation function of vein image quality was obtained through comprehensive analysis and weighting of those parameters. The experimental results show that the objective evaluation value is in accordance with the subjective evaluation value. 

参考文献/References:

[1]周景超,戴汝为,肖柏华.图像质量评价研究综述[J].计算机科学, 2008, 35(7): 14.
ZHOU Jingchao,DAI Ruwei, XIAO Baihua. Overview of image quality assessment research[J]. Computer Science, 2008, 35(7): 14.
[2]WANG Z, SHEIKH H R, BOVIK A C. Noreference perceptual quality assessment of JPEG compressed images[C]//Proceedings of IEEE International Conference on Image Processing. New York,USA: IEEE, 2002, 1: 477480.
[3]HONG L. Automatic personal identification using fingerprints[D]. Michigan State University, 1998.
[4]魏政刚,袁杰辉.图像质量评价方法的历史、现状和未来[J].中国图像图形学报, 1998, 3(5): 236239.
 WEI Zhenggang,YUAN Jiehui. The history, status and future of image quality evaluation[J]. Journal of Image and Graphics, 1998, 3(5): 236239.
[5]DAUGMAN J. Statistical richness of visual phase information: update on recognizing persons by iris patterns[J]. International Journal Computer Vision, 2001, 45(1): 2538.
[6]ZHANG G, SALGANICOFF M. Method of measuring the focus of closeup images of eyes[P]. United States,5953440,1999.
[7]LI Ma,TAN Tieniu, WANG Yunhong. Personal identification based on iris texture analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(12): 15191533.
[8]Rudolf Maarten Bolle. System and methods for determing the quality of fingerprint images[P].United States patent number US596356(1999).
[9]胡杨庆,童卫清.人脸图像质量评价法[J]. 现代计算机:专业版,2007(12): 4345.
HU Yangqing ,TONG Weiqing. Assessment of humanface image quality[J]. Modern Computer, 2007(12): 4345.
[10]熊新炎.基于指纹和手背静脉的多模态生物特征识别系统研究[D].哈尔滨:哈尔滨工程大学, 2007: 5558.
 XIONG Xinyan. Study of the multibiometricsystems based on fingerprint and hand vein[D]. Harbin: Harbin Engineering Universit, 2007: 5558.
[11]崔建江, 王立辉, 陈大力, 潘峰. 基于近红外图像质量评价的静脉图像采集系统[J]. 东北大学学报:自然科学版, 2009, 30(8): 10991102.
CUI Jianjiang, WANG Lihui, CHEN Dali, PAN Feng. On the vein image capturing system based on nearinfrared image quality assessment[J]. Journal of Northeastern University: Narural Science, 2009, 30(8): 10991102.
[12]姜丹.信息论与编码[M].合肥:中国科学技术大学出版社, 2004: 101105.
[13]王科俊,袁智.基于小波矩融合PCA变换的手指静脉识别方法[J].模式识别与人工智能, 2007, 20(5): 692697.
 WANG Kejun,YUAN Zhi. Finger vein recognition based on wavelet moment fused with PCA transform[J]. Pattern Recognition and Artificial Intelligence, 2007, 20(5): 692697. 

相似文献/References:

[1]马慧,王科俊.采用旋转校正的指静脉图像感兴趣区域提取方法[J].智能系统学报,2012,7(03):230.
 MA Hui,WANG Kejun.A region of interest extraction method using rotation rectified finger vein images[J].CAAI Transactions on Intelligent Systems,2012,7(04):230.
[2]姜峰,郭美思,刘绍辉,等.基于感知视觉重要性的立体图像质量评价[J].智能系统学报,2012,7(05):414.
 JIANG Feng,GUO Meisi,LIU Shaohui,et al.Quality assessment of stereoscopic images based on the significance of perceptual vision[J].CAAI Transactions on Intelligent Systems,2012,7(04):414.
[3]王伟,刘辉,杨俊安.一种特征字典映射的图像盲评价方法研究[J].智能系统学报,2018,13(06):989.[doi:10.11992/tis.201805027]
 WANG Wei,LIU Hui,YANG Junan.Blind quality evaluation with image features codebook mapping[J].CAAI Transactions on Intelligent Systems,2018,13(04):989.[doi:10.11992/tis.201805027]

备注/Memo

备注/Memo:
收稿日期: 2010-10-09.
基金项目:国家“863”计划资助项目(2006AA04Z248);国家自然科学基金资助项目(60975022);黑龙江省杰出青年科学基金资助项目(JC200703);哈尔滨市科技创新人才研究专项基金资助项目(2007RFXXG009). 
通信作者:王科俊.E-mail:heukejun@shou.com.
作者简介:
王科俊,男,1962年生,教授,博士生导师,博士.模式识别与智能系统学科带头人.主要研究方向为模糊混沌神经网络、自适应逆控制理论、可拓控制、网络智能控制、模式识别、多模态生物特征识别、联脱机指纹考试身份鉴别系统、微小型机器人系统.发表学术论文180余篇,出版学术专著3部,国防教材1部,主审教材2部.
刘靖宇,女,1982年生,博士研究生,主要研究方向为模式识别、生物特征识别.申请专利3项,已录用学术论文3篇.
更新日期/Last Update: 2011-09-30