条码自动识别技术及市场

条形码自动识别技术是一种快速、适时、准确收集、储存、处理信息的高新技术,是实现国民经济现代化建设大市场,搞活大流通、发展大贸易,建立信息网络,实行电子数据交换,开展安全检测,增强竞争能力不可缺少的技术工具和手段.下面要介绍的四大条码识别技术,不能绝对区分开来,比如智能卡技术,也可能还是生物识别技术、声音识别技术,而声音识别技术从属于生物识别技术.     

事事洞察，智能视频；监控识别，疏而不漏——基于生物识别技术的门禁系统设计与工程实践

本文介绍了生物识别技术的现状，并结合工程案例讨论了基于生物识别技术的门禁系统的设计及工程实践中的问题，同时提出了有效的解决方案。     

一种新颖的静脉生物识别技术设计方案

总结了目前存在的各种生物识别技术的优缺点,提出一种基于手指静脉图案的生物识别技术设计方案,介绍了该方案的优点、系统组成及可能存在的问题,并指出生物识别技术发展的趋势.     

基于生物特征的识别技术在电子商务中的应用

本文分析了影响电子商务的安全因素,介绍了为保证电子商务平台安全运行的基于生物统计特征的生物识别技术,进而提出解决电子商务安全性的对策,本文就生物识别技术在电子商务安全性中的应用进行分析探讨.     

前景广阔的生物识别技术

日常生活中，无论我们到银行取钱、在网上交易，还是注册网络服务、刷卡消费，都需要身份的识别。查看身份证、输入密码等传统的身份识别方式不仅繁琐还难免受到证件伪造、密码破解等手段的威胁。但令人欣喜的是，近年来不断发展的生物识别技术正被越来越多地应用于身份识别，从而更有效地保护我们的安全和隐私。     

指纹采集技术及其发展趋势

生物识别技术已成为一种公认的最为方便和安全的身份认证技术。生物识别技术中的指纹识别技术发展最成熟、应用也最广泛。指纹图像的采集技术是指纹识别中的关键技术之一。     

生物防伪技术

生物防伪技术目前主要有指纹身份防伪识别技术、眼睛虹膜身份防伪识别技术、抗原/抗体商品防伪技术和DNA商品防伪技术.     

手背静脉识别技术及其应用

生物识别技术是通过计算机与光学、声学、生物传感器和生物统计学原理等高科技手段密切结合，利用人体固有的生理特性，（如指纹、面像、虹膜等）和行为特征（如签名、声音、步态等）来进行个人身份的鉴定。当前，生物识别技术已成为一个蓬勃发展的领域，利用人体固有的生理和行为特征的身份认证已展现出极大的优越性和可靠性。但是以上识别技术都存在一些缺陷，     

从指纹识别到手指静脉识别——看生物特征识别技术的不断创新

生物特征识别技术是通过计算机与光学、声学、生物传感器和生物统计学原理等高科技手段密切结合，利用人体固有的生理特性（如指纹、脸象、虹膜等）和行为特征（如笔迹、声音、步态等）来进行个人身份的鉴定。依据人的生物特征的生理特性或行为方式可分为多种生物特征身份识别。生理特征有手形、指纹、脸形、     

生物特征识别技术需从应用中逐步完善——访清华大学电子工程系苏光大教授

一扇紧闭的房门,却没有钥匙孔。当你站在门旁的一个小型设备前,盯着机器某个地方看上一秒或是伸出你的手指,门就会＂哒＂地一声自动弹开……这样的场景,或许只在电影中出现过,但随着现今生物特征识别技术的逐渐普及与应用,这些科幻场景或将成为现实。为了更加深刻地了解生物特征识别技术,本刊采访了清华大学电子工程系苏光大教授,请他为我们简单介绍生物特征识别技术在我国的发展近况,并就人脸识别技术的成功应用,为我们讲解生物特征识别技术是如何融入到我们的生活。     

Patenting trends in biometric technology of the Big Five patent offices

We examined the overall trends in biometric technology based on patent documents. Using PATSTAT database, we extracted 37,462 patent documents applied at the Big Five patent offices between 1990 and 2016. Latent Dirichlet allocation was applied to their abstracts to observe annual trends by topic. Our results are as follows: Fingerprint-enabled car anti-theft systems have been undergoing rapid technological development since 2014. In response, biometric signal transmitting models are becoming popular owing to concerns about theft of biometric templates. While fingerprint, face, and iris authentication technologies continue to advance, finger vein, voice, and signature authentication technologies are lagging. Use of biometric technologies in financial transactions, server networks, and digital media content security are decreasing as well. A citation analysis discovered key topics and patent applicants: Surprisingly, the quantitative growth rate of topics and the effect on the knowledge network showed an inverse relationship. US firms had the most citations, but fewer backward citations of own work, unlike Japanese companies. We provide practical insights to stakeholders of biometric technology.     

A comparison of primary stakeholders’ views on the deployment of biometric technologies in border management: Case study of SMart mobILity at the European land borders

Advances in technology have a substantial impact on every aspect of our lives, ranging from the way we communicate to the way we travel. The Smart mobility at the European land borders (SMILE) project is geared towards the deployment of biometric technologies to optimize and monitor the flow of people at land borders. However, despite the anticipated benefits of deploying biometric technologies in border control, there are still divergent views on the use of such technologies by two primary stakeholders–travelers and border authorities. In this paper, we provide a comparison of travelers' and border authorities' views on the deployment of biometric technologies in border management. The overall goal of this study is to enable us to understand the concerns of travelers and border guards in order to facilitate the acceptance of biometric technologies for a secure and more convenient border crossing. Our method of inquiry consisted of in-person interviews with border guards (SMILE project's end users), observation and field visits (to the Hungarian-Romanian and Bulgarian-Romanian borders) and questionnaires for both travelers and border guards. As a result of our investigation, two conflicting trends emerged. On one hand, border guards argued that biometric technologies had the potential to be a very effective tool that would enhance security levels and make traveler identification and authentication procedures easy, fast and convenient. On the other hand, travelers were more concerned about the technologies representing a threat to fundamental rights, personal privacy and data protection.     

新技术在堤坝隐患自动识别系统中的应用

目的　为了对堤坝隐患进行有效的识别 ,本文提出了 3种新技术 ,即堤防隐患雷达探测系统、多传感器探测网络系统及其数据融合技术、红外成像技术在堤坝隐患自动识别系统中的应用 .方法　介绍了这些应用的系统组成、原理以及方案 .结果与结论　通过研究发现这 3种新技术能够用于堤坝隐患自动识别系统中 ,证明了这些方法的有效性 .     

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self-powered sensors, machine learning algorithms, and speaker recognition.     

Secure authentication system that generates seed from biometric information

As biometric recognition techniques are gradually improved, the stability of biometric authentication systems are enhanced. Although bioinformation has properties that make it resistant to fraud, biometric authentication systems are not immune to hacking. We show a secure biometric authentication system (1) to guarantee the integrity of biometric information by mixing data by use of a biometric key and (2) to raise recognition rates by use of bimodal biometrics.     

铁电存储器集成工艺中关键技术研究进展

铁电薄膜与半导体集成技术相结合而发展起来的铁电存储器与传统的半导体存储器相比有很多优点,其关键集成工艺技术有铁电薄膜制备技术、电极制备、刻蚀技术、氢阻技术、金属互连技术、钝化技术.简要介绍了这些工艺技术的研究现状,并讨论了相关工艺对性能的影响.     

Extending the imaging volume for biometric iris recognition

The use of the human iris as a biometric has recently attracted significant interest in the area of security applications. The need to capture an iris without active user cooperation places demands on the optical system. Unlike a traditional optical design, in which a large imaging volume is traded off for diminished imaging resolution and capacity for collecting light, Wavefront Coded imaging is a computational imaging technology capable of expanding the imaging volume while maintaining an accurate and robust iris identification capability. We apply Wavefront Coded imaging to extend the imaging volume of the iris recognition application.     

中国工程科技2035技术预见研究

技术预见是一种致力于促进科技与经济、重大计划一体化,对远期技术发展进行的有步骤的探索过程。结合我国未来经济社会发展对工程科技的需求,在工程科技发展战略研究中引入技术预见,开展未来20年工程科技关键技术预测与选择。中国工程科技2035技术预见结合工程科技特点,设计了客观分析法与主观判断相结合的技术预见方法与应用流程,针对11个工程科技领域的800余项备选技术,提出了2035年我国工程科技各领域发展的关键技术、共性技术以及颠覆性技术,分析了关键技术的实现时间、发展水平与制约因素,为各领域制定面向2035工程科技发展技术路线图提供系统性的支撑。     

解冻技术在肉制品中的应用研究进展

目的 对国内外肉品解冻技术的研究进展进行综述,以提高解冻效率和解冻肉的品质.方法 阐述各种解冻技术对肉制品的作用机理,分析其优势和限制其推广应用的关键问题;论述应用于牛肉、猪肉和羊肉的解冻工艺,并对肉品解冻的未来研究方向进行展望.结论 各种解冻技术均有利弊,对于牛肉,高压静电解冻技术虽是一种极具潜力的新型解冻技术,但仍存在解冻规模小和生产成本高等问题;对于猪肉,低温高湿解冻较适用于实际生产;对于羊肉,冷水和低温空气解冻是较为合适的方法.未来可根据不同肉制品的特性,有针对性地研究其解冻工艺.同时,也应对组合解冻技术和肉品的预处理技术进行研究,以提高冻肉的解冻效率和品质.     

高速电主轴驱动控制技术研究综述

高速电主轴是高速数控机床核心功能部件,主轴单元融合了高速电机、精密轴承、驱动控制等关键技术。高速主轴电机的驱动控制技术是决定主轴动静态性能的关键因素之一。因此,有必要对现有的主轴电机驱动控制技术进行系统分析和深入总结。根据主轴电机驱动控制技术的发展历史:从V/f控制、矢量变频控制、直接转矩控制到混合驱动控制以及智能控制等关键控制技术进行逐一分析和评述。在此基础上总结各控制技术客观存在的问题并进行对比分析,最后对高速电主轴驱动控制技术的发展趋势进行了预测和展望。