Iris identification technology is a biological characteristic identification technology with the lowest error reception rate and the lowest error refusal rate . it differentiates accuracy from error of identification by collecting iris image , abstracting features and matching features 1885年, alphonsebertillon将利用生物特征识别个体的思路应用在巴黎的刑事监狱中,当时所用的生物特征包括:耳朵的大小,脚的长度、虹膜等。
However , gait is a relatively new and emergent behavioral biometric , and gait recognition has received growing interest within the computer vision community recently , is currently the active research topic in the domain of visual analysis of human motion 尽管如此,步态识别作为生物特征识别技术中的一个新兴领域,目前引起了视觉研究者的浓厚兴趣,成为近年来计算机视觉领域中备受关注的前沿方向,是人运动视觉分析的重要内容。
Automated face detection and recognition is one of the most attentional branches of biometrics and it is also the one of the most active and challenging tasks for computer vision and pattern recognition . it is not only widely applied in a variety of personal identification systems such as national security , public security , justice , government , finance , business and security facilities , but also can be used in the fields of human - computer interface and visual communication 而人脸检测和识别是目前生物特征识别中最受人们关注的一个分支，是计算机视觉与模式识别领域非常活跃的一个研究方向，它不仅广泛应用于国家安全、公安、司法、政府、金融、商业、安检、保安等身份鉴别系统，而且还可应用于人机接口、可视通讯等领域。
The automated passenger clearance and automated vehicle clearance systems aim to revolutionise the immigration clearance processes at control points by leveraging the smart identity card and biometrics verification technologies with a view to enhancing the overall passenger and vehicle throughput 设立旅客自助出入境检查和车辆司机自助出入境检查这两个系统的目的，是要充分利用智能身份证和生物特征识别技术，改革各管制站的出入境检查程序，以提升管制站的旅客和车辆整体处理量。
Today , with the rapid development of information and internet all over the world , information security is extraordinarily important , especially , personal identification technology . because biological feature identification technology has unique stability , uniqueness and convenience , it is applied more and more broadly 当今社会高度信息化网络化，信息安全显示出前所未有的重要性，身份鉴定技术具有非常重要的应用价值，生物特征识别技术以其特有的稳定性、唯一性和方便性，得到越来越广泛地应用。
At present , the overall tendency of software development is constructing object - oriented , network based , distributed and heterogonous application system using distributed component technologies , and dividing the software system into independent components with different functions , which can be platform and programming language independent , and can communicate with each other for collaboration , handwriting - based identification recognition is an important research field of biometric identification , and also an active topic in computer vision and pattern recognition 目前，软件开发的整体趋势是采用分布式组件技术建立面向对象的、基于网络的、分布的和异构的大规模应用系统，把整个软件系统划分为一个个相互独立的组件，每个组件完成特定的功能，可以跨越多种操作平台，独立于程序设计语言，并且相互通信，协同完成工作。笔迹鉴别是人体生物特征识别中的一个重要研究领域，也是计算机视觉和模式识别领域研究的热点问题。
Up to now , many traits in human body have been applied , such as fingerprint , palmprint , iris , face , hand shape and signature , etc . in the thesis , we propose a novel personal identification technology base on hand back and develop a prototype of hand back based identification in this paper 截至目前,已经用于身份识别的人体生物特征包括指纹、掌纹、虹膜、人脸、手形、签名等。在本论文中,研究了一种新的生物特征识别技术? ?手背识别技术,并实现了手背识别系统原型。
An accurate automatic personal identification is critical in a wide range of application domains such as internet security , automated banking , residence safeguard , health care and electronic commerce etc . biometrics identifies an individual based on her physiological or behavioral characteristics such as face , fingerprint , iris , dna and voice etc . with its unique advantages , automatic fingerprint identification has become one of the most reliable biometric technologies 在网络安全、金融、安防、医疗以及电子商务等诸多应用领域都有着身份认证的强烈需要。与此相关的生物特征识别技术日益受到人们的重视。这种技术根据人体自身的特征如人脸、指纹、视网膜、 dna 、声音等来识别个人的身份。
Real - time face detection and face tracking in complex background is a study field of biometric features identification technique , it includes image obtain , image pretreatment , face detection and face tracking etc . in this paper we first introduce some methods of image pretreatment , then introduce some face detection methods 复杂背景下实时人脸的检测与跟踪属于生物特征识别技术的研究领域，包括图像获取、图像预处理、人脸的检测定位、人脸的跟踪等几个方面。
According to the fact that the basic features of apalmprint , including principal lines , wrinkles and ridges , havedifferent resolutions , in this paper we analyze palmprints using amulti - resolution method and define a novel palmprint feature , whichcalled wavelet energy feature , based on the wavelet transform . wef can reflect the wavelet energy distribution of the principal lines , wrinkles and ridges in different directions at different resolutions scales , thus it can efficiently characterize palmprints . this paperalso analyses the discriminabilities of each level wef and , according to these discriminabilities , chooses a suitable weight for each levelto compute the weighted city block distance for recognition . theexperimental results show that the order of the discriminabilities ofeach level wef , from strong to weak , is the 4th , 3rd , 5th , 2nd and 1stlevel 作为对现有人体生物特征识别技术的重要补充，掌纹识别有着其独特的优点：掌纹比指纹含有更多的可区分信息掌纹采集设备的价格比虹膜采集设备的价格要低廉得多掌纹特征比签名特征更为稳定掌纹识别可获得比人脸识别更高的识别精度掌纹含有独特的线特征包括主线和皱褶，这些线特征具有很强的区分能力，并可以在低分辨率图像中提取出来可以将手掌上的各种特征融合在一起建立一个高精度的生物识别系统等。
