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

生物特征識(shí)別領(lǐng)域（基于個(gè)人的行為和生物特征自動(dòng)識(shí)別個(gè)人）現(xiàn)已達(dá)到成熟水平，可行的實(shí)際應(yīng)用不僅可能而且越來(lái)越可用。生物特征識(shí)別領(lǐng)域的特點(diǎn)是其跨學(xué)科性，因?yàn)殡m然主要關(guān)注強(qiáng)大的技術(shù)基礎(chǔ)，但有效的系統(tǒng)設(shè)計(jì)和實(shí)施通常需要廣泛的技能，例如人為因素、數(shù)據(jù)安全和數(shù)據(jù)庫(kù)技術(shù)、心理和生理意識(shí)等。此外，技術(shù)重點(diǎn)本身包含多樣性，因?yàn)橛行У纳锾卣髯R(shí)別系統(tǒng)的工程需要整合圖像分析、模式識(shí)別、傳感器技術(shù)、數(shù)據(jù)庫(kù)工程、安全設(shè)計(jì)和許多其他理解。

該期刊的范圍故意相對(duì)較廣。雖然重點(diǎn)關(guān)注核心技術(shù)問(wèn)題，但人們認(rèn)識(shí)到這些問(wèn)題可能本質(zhì)上是多樣化的，在許多情況下可能跨越傳統(tǒng)的學(xué)科界限。因此，該期刊的范圍將包括任何可以證明論文可以增加我們對(duì)生物識(shí)別系統(tǒng)的理解、預(yù)示生物識(shí)別未來(lái)發(fā)展和應(yīng)用或促進(jìn)相關(guān)技術(shù)更廣泛實(shí)際應(yīng)用的主題：

開(kāi)發(fā)和增強(qiáng)單個(gè)生物識(shí)別模式，包括既定和傳統(tǒng)模式（例如面部、指紋、虹膜、簽名和手寫識(shí)別）以及較新或新興的模式（步態(tài)、耳朵形狀、神經(jīng)模式等）

多生物識(shí)別、理論和實(shí)踐問(wèn)題、實(shí)用系統(tǒng)的實(shí)施、多分類器和多模式方法

用于識(shí)別、驗(yàn)證和特征預(yù)測(cè)的軟生物識(shí)別和信息融合

生物識(shí)別系統(tǒng)的人為因素和人機(jī)界面問(wèn)題、異常處理策略

模板構(gòu)建和模板管理、老化因素及其對(duì)生物識(shí)別系統(tǒng)的影響

可用性和面向用戶的設(shè)計(jì)、心理和生理原理和系統(tǒng)集成

用于生物特征識(shí)別處理的傳感器和傳感器技術(shù)

支持生物特征識(shí)別系統(tǒng)的數(shù)據(jù)庫(kù)技術(shù)

生物特征識(shí)別系統(tǒng)的實(shí)施、安全工程影響、智能卡及相關(guān)實(shí)施技術(shù)、實(shí)施平臺(tái)、系統(tǒng)設(shè)計(jì)和性能評(píng)估

信任和隱私問(wèn)題、生物特征識(shí)別系統(tǒng)的安全性和支持技術(shù)解決方案、生物特征識(shí)別模板保護(hù)

生物特征識(shí)別密碼系統(tǒng)、安全性和與生物特征識(shí)別相關(guān)的加密

與法醫(yī)處理的聯(lián)系和跨學(xué)科共性

核心基礎(chǔ)技術(shù)（例如生物識(shí)別技術(shù)（例如，圖像分析、模式識(shí)別、計(jì)算機(jī)視覺(jué)、信號(hào)處理等）與生物識(shí)別處理的具體相關(guān)性可得到證明。

應(yīng)用和應(yīng)用主導(dǎo)的考慮

關(guān)于生物識(shí)別系統(tǒng)開(kāi)發(fā)的技術(shù)或工業(yè)背景的立場(chǎng)文件

采用和推廣生物識(shí)別標(biāo)準(zhǔn)，提高技術(shù)接受度、部署和互操作性，避免跨文化和跨部門限制

相關(guān)的倫理和社會(huì)問(wèn)題

Iet Biometrics創(chuàng)刊于2012年，由Wiley出版商出版，收稿方向涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE全領(lǐng)域，此期刊水平偏中等偏靠后，在所屬細(xì)分領(lǐng)域中專業(yè)影響力一般，過(guò)審相對(duì)較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機(jī)率較高。平均審稿速度 33 Weeks ，影響因子指數(shù)1.8，該期刊近期沒(méi)有被列入國(guó)際期刊預(yù)警名單，廣大學(xué)者值得一試。