基于人体生物学的指纹识别技术在出行支付环境下的应用研究
Research on the Application of Fingerprint Recognition Technology Based on Human Biology in Travel Payment Environments
DOI: 10.12677/isl.2026.104107, PDF,    科研立项经费支持
作者: 孙 迪:安徽新华学院财会与金融学院,安徽 合肥;武 艺:安徽新华学院商学院,安徽 合肥
关键词: 指纹识别技术出行支付安全性便捷性准确性Fingerprint Recognition Technology Travel Payment Security Convenience Accuracy
摘要: 本文以当前出行支付的发展现状为研究背景,聚焦于人体生物特征识别领域中的指纹识别技术,对其在日常出行支付场景中的实际应用情况展开了系统研究。文章分别从技术的安全性能、使用便捷程度以及识别准确率三个核心维度进行了分析,既总结了指纹识别技术相较于传统支付方式所具备的显著优势,也客观指出了其在实际推广应用过程中暴露出的各类问题。在此基础上,本文重点针对这些现存问题,结合实际应用场景提出了相应的解决思路和具体改进措施,旨在为指纹识别技术在出行支付领域的应用优化提供参考,进一步提升该技术的实际运行效率,改善广大用户的使用体验,推动指纹识别技术与出行支付场景实现更深度、更顺畅的融合发展。
Abstract: This article takes the current development status of travel payment as the research background, focusing on fingerprint recognition technology in the field of human biometrics, and conducts a systematic study on its practical application in daily travel payment scenarios. The article analyzes the technology from three core dimensions: security performance, ease of use, and recognition accuracy. It not only summarizes the significant advantages of fingerprint recognition technology compared to traditional payment methods but also objectively points out various issues exposed during its practical promotion and application. On this basis, the article focuses on these existing problems and, combined with practical application scenarios, proposes corresponding solutions and specific improvement measures, aiming to provide a reference for optimizing the application of fingerprint recognition technology in the field of travel payment, further enhance the actual operating efficiency of the technology, improve the user experience, and promote a deeper and smoother integration of fingerprint recognition technology with travel payment scenarios.
文章引用:孙迪, 武艺. 基于人体生物学的指纹识别技术在出行支付环境下的应用研究[J]. 交叉科学快报, 2026, 10(4): 898-908. https://doi.org/10.12677/isl.2026.104107

参考文献

[1] 田野. 基于特征的数据指纹识别技术研究[D]: [硕士学位论文]. 成都: 电子科技大学, 2025.
[2] 陆平, 曹茜芮. “互联网+”生物识别的未来[J]. 互联网经济, 2018(6): 16-19.
[3] 何阿妹, 蔡贤玲, 陈珉惺. 指纹识别技术发展及应用现状[J]. 产业创新研究, 2023(6): 102-104.
[4] 刘欢喜. 人体生物特征的综合分析与应用[D]: [博士学位论文]. 上海: 上海交通大学, 2010.
[5] 徐杰, 刘哲元, 霍鑫, 等. 人工智能指纹识别技术在警务实战中的应用[J]. 刑事技术, 2021, 46(3): 299-304.
[6] 许欢庆, 金力, 钱源, 等. 指纹识别系统的设计与实现[J]. 电脑知识与技术, 2022, 18(28): 86-89.
[7] 陈希贤. 基于指纹生物特征的防伪技术研究[D]: [硕士学位论文]. 长沙: 长沙理工大学, 2017.
[8] Drahansky, M., Dolezel, M., Urbanek, J., Brezinova, E. and Kim, T. (2012) Influence of Skin Diseases on Fingerprint Recognition. Journal of Biomedicine and Biotechnology, 2012, 1-14. [Google Scholar] [CrossRef] [PubMed]