Iet Biometrics

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（基于个人的行为和生物特征自动识别个人）现已达到成熟水平，可行的实际应用不仅可能而且越来越可用。生物特征识别领域的特点是其跨学科性，因为虽然主要关注强大的技术基础，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。此外，技术重点本身包含多样性，因为有效的生物特征识别系统的工程需要整合图像分析、模式识别、传感器技术、数据库工程、安全设计和许多其他理解。

该期刊的范围故意相对较广。虽然重点关注核心技术问题，但人们认识到这些问题可能本质上是多样化的，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的理解、预示生物识别未来发展和应用或促进相关技术更广泛实际应用的主题：

开发和增强单个生物识别模式，包括既定和传统模式（例如面部、指纹、虹膜、签名和手写识别）以及较新或新兴的模式（步态、耳朵形状、神经模式等）

多生物识别、理论和实践问题、实用系统的实施、多分类器和多模式方法

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、心理和生理原理和系统集成

用于生物特征识别处理的传感器和传感器技术

支持生物特征识别系统的数据库技术

生物特征识别系统的实施、安全工程影响、智能卡及相关实施技术、实施平台、系统设计和性能评估

信任和隐私问题、生物特征识别系统的安全性和支持技术解决方案、生物特征识别模板保护

生物特征识别密码系统、安全性和与生物特征识别相关的加密

与法医处理的联系和跨学科共性

核心基础技术（例如生物识别技术（例如，图像分析、模式识别、计算机视觉、信号处理等）与生物识别处理的具体相关性可得到证明。

应用和应用主导的考虑

关于生物识别系统开发的技术或工业背景的立场文件

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，避免跨文化和跨部门限制

相关的伦理和社会问题

Iet Biometrics创刊于2012年，由Wiley出版商出版，收稿方向涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。平均审稿速度 33 Weeks ，影响因子指数1.8，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。