本刊的范圍有意相對較廣。在關注核心技術問題的同時，人們認識到這些問題可能具有內(nèi)在的多樣性，并且在許多情況下可能跨越傳統(tǒng)的學科界限。因此，該期刊的范圍將包括任何可以證明論文可以增進我們對生物特征識別系統(tǒng)的理解、信號未來的發(fā)展和生物特征識別的應用，或促進對相關技術的更大的實際吸收的主題：開發(fā)和增強個人生物識別模式，包括已建立和傳統(tǒng)模式（如面部、指紋、虹膜、簽名和手寫識別），以及更新或新興模式（步態(tài)、耳朵形狀、神經(jīng)模式等）。多生物特征學、理論和實踐問題、實際系統(tǒng)的實現(xiàn)、多分類和多模式方法。用于識別、驗證和特征預測的軟生物識別和信息融合。生物特征識別系統(tǒng)的人為因素和人機界面問題，異常處理策略。模板構建和模板管理、老化因素及其對生物特征識別系統(tǒng)的影響。可用性和面向用戶的設計、心理學和生理學原理以及系統(tǒng)集成。用于生物特征處理的傳感器和傳感器技術。支持生物識別系統(tǒng)的數(shù)據(jù)庫技術。生物識別系統(tǒng)的實施、安全工程影響、智能卡和實施中的相關技術、實施平臺、系統(tǒng)設計和性能評估。信任和隱私問題、生物識別系統(tǒng)的安全和支持技術解決方案、生物識別模板保護。生物特征密碼系統(tǒng)、安全和生物特征鏈接加密。與法醫(yī)處理和跨學科共性的聯(lián)系。核心支撐技術（例如圖像分析、模式識別、計算機視覺、信號處理等），可以證明與生物特征處理的特定相關性。應用和應用導向的考慮。關于生物識別系統(tǒng)開發(fā)的技術或工業(yè)背景的定位文件。采用和推廣生物特征識別標準，提高技術接受度、部署和互操作性，避免跨文化和跨部門限制。相關的倫理和社會問題。

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