IET Biometrics

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官方网站：http://digital-library.theiet.org/content/journals/iet-bmt

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PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2047-4938%5BISSN%5D

本刊的范围有意相对较广。在关注核心技术问题的同时，人们认识到这些问题可能具有内在的多样性，并且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进我们对生物特征识别系统的理解、信号未来的发展和生物特征识别的应用，或促进对相关技术的更大的实际吸收的主题：开发和增强个人生物识别模式，包括已建立和传统模式（如面部、指纹、虹膜、签名和手写识别），以及更新或新兴模式（步态、耳朵形状、神经模式等）。多生物特征学、理论和实践问题、实际系统的实现、多分类和多模式方法。用于识别、验证和特征预测的软生物识别和信息融合。生物特征识别系统的人为因素和人机界面问题，异常处理策略。模板构建和模板管理、老化因素及其对生物特征识别系统的影响。可用性和面向用户的设计、心理学和生理学原理以及系统集成。用于生物特征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、智能卡和实施中的相关技术、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和支持技术解决方案、生物识别模板保护。生物特征密码系统、安全和生物特征链接加密。与法医处理和跨学科共性的联系。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），可以证明与生物特征处理的特定相关性。应用和应用导向的考虑。关于生物识别系统开发的技术或工业背景的定位文件。采用和推广生物特征识别标准，提高技术接受度、部署和互操作性，避免跨文化和跨部门限制。相关的伦理和社会问题。

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