Journal Title：Iet Biometrics

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 approaches

Soft biometrics and information fusion for identification, verification and trait prediction

Human factors and the human-computer interface issues for biometric systems, exception handling strategies

Template construction and template management, ageing factors and their impact on biometric systems

Usability and user-oriented design, psychological and physiological principles and system integration

Sensors and sensor technologies for biometric processing

Database technologies to support biometric systems

Implementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluation

Trust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protection

Biometric cryptosystems, security and biometrics-linked encryption

Links with forensic processing and cross-disciplinary commonalities

Core underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstrated

Applications and application-led considerations

Position papers on technology or on the industrial context of biometric system development

Adoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictions

Relevant ethical and social issues

生物特征识别领域 - 根据个人的行为和生物学特征自动识别个人 - 现在已经达到成熟水平，可行的实际应用既可能而且越来越多。生物识别领域的特点尤其是其跨学科性，因为虽然主要集中在强大的技术基础上，但有效的系统设计和实施通常需要广泛的技能，例如人为因素、数据安全和数据库技术、心理和生理意识， 等等。此外，技术重点本身包含多样性，因为有效的生物识别系统工程需要集成图像分析、模式识别、传感器技术、数据库工程、安全设计和许多其他方面的理解。

期刊的范围故意比较宽。在关注核心技术问题的同时，人们认识到这些问题可能本质上是多样化的，并且在许多情况下可能会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一篇论文可以增加我们对生物识别系统的理解、预示未来生物识别技术的发展和应用，或促进相关技术的更多实际应用的主题：

个人生物识别模式的开发和增强，包括已建立和传统模式（例如面部、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）

多生物识别、理论和实践问题、实际系统的实现、多分类器和多模态方法

用于识别、验证和特征预测的软生物特征和信息融合

生物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识别系统的影响

可用性和面向用户的设计、心理和生理原理与系统集成

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、智能卡和相关技术的实施、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和支持技术解决方案、生物识别模板保护

生物识别密码系统、安全性和生物识别相关加密

与取证处理和跨学科共性的联系

核心基础技术（例如图像分析、模式识别、计算机视觉、信号处理等），可以证明与生物识别处理的具体相关性

应用程序和以应用程序为主导的注意事项

关于技术或生物识别系统开发的工业背景的职位论文

采用和推广生物识别标准，提高技术接受度、部署和互操作性，避免跨文化和跨行业限制

相关的道德和社会问题