使用改进的方向滤波与修正的Hausdorff距离的指静脉识别方法

针对已有静脉识别方法存在的识别结果易受图像质量影响、计算量大的问题,提出一种使用改进的方向滤波与修正的Hausdorff距离技术的指静脉识别方法.根据指静脉图像具有的方向特性设计邻域方向模板及方向滤波器模板对图像进行滤波增强处理后,利用修正的Hausdorff距离模板匹配的思想,在距离变换空间内实现指静脉图像的匹配识别.实验结果表明,该方法对指静脉图像的匹配识别具有较好的准确率.     

基于方向梯度的快速手掌静脉识别

针对目前在静脉纹理提取算法中,对图像质量要求高、算法复杂度高的问题,本文利用静脉图像的剖面线在静脉区域中,灰度值会呈现山谷状变化的特征,通过计算静脉图像多方向的梯度矩阵,提出一种计算简单、快速而且稳定的掌脉纹路中心和纹路宽度提取算法。在此基础上,采用相应的编码方法确定纹理图像灰度值分布。最后,利用模糊阈值判定以及全局灰度值匹配算法,提高算法的鲁棒性及识别精度。实验结果表明,算法纹路特征提取的速度为25.2ms;在掌脉图像两两匹配的条件下,本文算法EER达到3.21%。最终可以得出结论,本文算法在纹路提取效果、匹配正确率以及算法效率上都有较为明显的优势。     

一种基于模板匹配的手指静脉识别算法

相对于指纹识别等传统生物特征识别手段,手指静脉识别是一种新兴的具有较好应用前景的生物特征识别技术。本文设计了具有自适应光源系统的手指静脉采集仪,能够自动获得亮度均匀的手指静脉图像;提出了一种基于模板匹配的手指静脉识别算法,采用基于多方向灰度谷底搜寻方法提取手指静脉特征,然后将从同一手指多个图像中提取的静脉特征合成模板,并通过门限阈值消除模板中的随机差异信息。实验结果表明,运用本研究提出的基于模板匹配的手指静脉识别算法能有效提高识别准确性,具有99.10%的识别准确率和1.03%的等错误率。     

基于Gabor相位编码的手背静脉识别算法

提出了一种基于Gabor相位编码的手背静脉识别算法.该算法主要分为两部分:一个是对手背静脉图片的预处理部分,包括滤波去噪和感兴趣区域(ROI)提取;另一个是静脉特征提取和匹配识别部分,该部分主要利用静脉图像的Gabor相位编码作为静脉识别的有效特征,同时利用海明距离实现特征匹配识别.该算法应用于自制的手背静脉图库,可达到100%的识别率和0%的误识率.结果表明,该算法是一种有效的生物特征识别方法.     

基于自适应网格矢量编码的人脸快速匹配算法

在分析传统图像匹配算法优缺点的基础上,提出了一种基于自适应网格矢量编码的人脸快速匹配算法.该算法首先对人脸进行二值化边缘分割和脸部特征轮廓提取,并对图像的细节边缘和特征轮廓进行自适应网格划分,然后对网格内的边缘段和特征轮廓段进行链码描述及矢量编码,最后通过计算编码后的方向矢量矩阵相似度来实现人脸图像的匹配识别.通过对ORL标准人脸图像库的实验仿真及对比结果表明,该算法在降低计算复杂度及提高识别精度的同时,有效地解决了由图像旋转、姿态变化引起的微小形变以及不同光照条件所带来的图像识别率低的问题.     

基于均衡离散曲率波变换的手背静脉识别

针对滤波器尺度和方向的增加对识别速度影响较大的问题,提出了基于均衡离散曲率波变换（UDCT）的手背静脉识别方法。在进行手背静脉图像感兴趣区域提取和预处理的前提下,引用了均衡离散曲率波变换对感兴趣区域进行去滤波变换,然后对变换系数进行相位编码,计算编码统计直方图的卡方距离来进行静脉识别。实验结果表明,该方法在低质量的手背静脉图像情况下依然能得到较好的识别效果和较快的识别速度。     

基于多邻域空间分布的图像检索

由于灰度共生矩阵及其改进算法存在计算复杂、且对于纹理分布信息缺乏计算以及忽略了图像相关特性等缺点,导致对于图像纹理的有效信息缺乏很好的描述,为此提出了一种新的纹理特征用于图像检索.该算法首先结合图像中像素的统计信息,针对不同的邻域范围提取图像的邻域相关矩阵,然后在此基础上构造多邻域空间分布特征用于图像检索.分析表明,该算法所提取的纹理特征计算量小,复杂度低,并且由于将纹理的结构特征和统计特征有效地结合起来,所以对图像的空间纹理分布特征可以较好地描述.为了证明新算法所提取纹理特征的有效性,将其用于图像检索实验.实验结果表明,新算法在检索精度上相比其他算法具有较大的提高.     

静脉灰度图像拓扑特征提取方法

二值化处理作为静脉识别中关键步骤不可避免会造成特征信息的部分减损,为了克服这种情况,文中提出一种跳过二值化过程直接对静脉灰度图像进行拓扑特征提取的新方法,该方法首先根据像素的邻域信息计算图像的方向场极值图(EGDF,extreme graph of direc tional fields),并利用预先定义的约束模板集从EGDF中逐步提取出静脉主脊,然后在设定的范围约束图中,利用最大邻域点跟踪算法从静脉主脊的各个端点开始搜索从而获得静脉次脊,最后由静脉主脊和静脉次脊组成了静脉灰度图像的全部拓扑特征.通过对比实验,发现文中算法提取的静脉拓扑特征优于常规组合方法即二值化后再进行骨架提取得到的静脉拓扑特征,且克服了基于新小波函数的对称分析法中无法提取漂浮静脉纹路以及将两条相距较近的纹路误识为一条纹路的问题.因此,是一种有效的静脉灰度图像拓扑特征提取方法.     

一种基于图像灰度的红外目标识别算法

针对红外图像背景复杂、识别率不高的问题,提出了一种新的基于图像灰度的红外目标识别方法.首先在形态学理论的基础上设计了一种多级形态学目标检测算子,并结合区域生长法检测目标区域;其次在候选目标区域的基础上引入sigmoid函数进行区域筛选,缩小了下一步目标搜索范围,并利用Haar小波方法从区域纹理入手,综合考虑了目标区域及其周边8方向邻域的相似性关系,明确了图像目标识别中对红外实时图目标的提取;最后运用目标模板的先验知识进行目标识别.实验结果表明,该算法的目标识别率相对于模板匹配算法和otsu阈值检测算法得到了极大提高,对于复杂地面红外图像目标的匹配识别具有一定应用价值.     

利用模板和邻域信息的静脉骨架提取新算法

为提高骨架提取的准确性和连通性,提出了一种利用模板和邻域信息的静脉骨架提取新算法,该算法首先对二值图像进行平滑,并通过自适应方法计算静脉纹路上所有像素点邻域之和,以快速区分出边缘点和中轴点,然后遍历图像找出所有符合中轴点模板的像素点,并删除其中的孤立中轴点之后,得到一些间断的中轴线段,最后从这些中轴线段的端点开始采用最大邻域点跟踪方法提取出静脉骨架。实验结果表明,该算法提取的静脉骨架与中轴线重合且平滑稳定,且具有尺度不变性,角度不变性和良好的抗噪性能,是一种有效的骨架提取算法。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

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