IET Biometrics

期刊简介：The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding.The scope of the journal is intentionally relatively wide. While focusing on core technological issues, it is recognised that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include any topics where it can be shown that a paper can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies:Development and enhancement of individual biometric modalities including the established and traditional modalities (e.g. face, fingerprint, iris, signature and handwriting recognition) and also newer or emerging modalities (gait, ear-shape, neurological patterns, etc.)Multibiometrics, theoretical and practical issues, implementation of practical systems, multiclassifier and multimodal approachesSoft biometrics and information fusion for identification, verification and trait predictionHuman factors and the human-computer interface issues for biometric systems, exception handling strategiesTemplate construction and template management, ageing factors and their impact on biometric systemsUsability and user-oriented design, psychological and physiological principles and system integrationSensors and sensor technologies for biometric processingDatabase technologies to support biometric systemsImplementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluationTrust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protectionBiometric cryptosystems, security and biometrics-linked encryptionLinks with forensic processing and cross-disciplinary commonalitiesCore underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstratedApplications and application-led considerationsPosition papers on technology or on the industrial context of biometric system developmentAdoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictionsRelevant ethical and social issues

【译文】生物识别领域——基于行为和生物特征的个体自动识别——现在已经达到了一个成熟水平，可行的实际应用既可能又越来越容易获得。生物识别领域的特点是其跨学科性，因为它主要围绕强大的技术基础，而有效的系统设计和实施通常需要包括人类因素、数据安全、数据库技术、心理和生理意识等广泛技能。此外，技术重点本身也具有多样性，因为有效的生物识别系统设计需要整合图像分析、模式识别、传感器技术、数据库工程、安全设计等多个领域的理解。该期刊的范围故意相对广泛。虽然专注于核心技术问题，但认识到这些问题本质上是多样化的，在许多情况下可能跨越传统的学科界限。因此，该期刊的范围将包括任何可以证明论文可以增加我们对生物识别系统理解、预示生物识别的未来发展和应用，或促进相关技术的更广泛应用的话题：个体生物识别模态的开发和增强，包括既定和传统的模态（例如面部、指纹、虹膜、签名和手写识别）以及较新或新兴的模态（例如步态、耳形、神经模式等）；多生物识别，理论问题和实际问题的实施，实用系统的实现，多分类器和多模态方法；软生物识别和信息融合用于识别、验证和特征预测；生物识别系统的人类因素和人与计算机界面问题，异常处理策略；模板构建和管理，老化因素及其对生物识别系统的影响；可用性和以用户为中心的设计，心理和生理原则以及系统集成；用于生物识别处理的传感器和传感器技术；支持生物识别系统的数据库技术；生物识别系统的实施，安全工程影响，实施中的智能卡和相关技术，实施平台，系统设计和性能评估；信任和隐私问题，生物识别系统的安全性及其支持的技术解决方案，生物识别模板保护；生物识别密码系统，安全性和与生物识别相关的加密；与法医处理和跨学科共同点的联系；核心支撑技术（例如图像分析、模式识别、计算机视觉、信号处理等），其中可以证明其与生物识别处理的特定相关性；应用和应用导向的考虑；关于技术或生物识别系统开发工业背景的立场文件；生物识别标准的采用和推广，提高技术接受度、部署和互操作性，避免跨文化和跨行业限制；相关的伦理和社会问题。