BAO Jun,ZHANG Xinyou,ZHU Hongying,et al.Design of RFID Access Control System based on Multiple Biometrics[J].Journal of Chengdu University of Information Technology,2022,37(03):248-252.[doi:10.16836/j.cnki.jcuit.2022.03.002]
基于多种生物特征识别的RFID门禁系统设计
- Title:
- Design of RFID Access Control System based on Multiple Biometrics
- 文章编号:
- 2096-1618(2022)03-0248-05
- Keywords:
- face recognition; fingerprint recognition; raspberry Pi; RFID; Dlib
- 分类号:
- TP309
- 文献标志码:
- A
- 摘要:
- 由于对智能门禁系统需求的日益提升和对个人隐私数据保护的日益重视,将嵌入式技术与生物特征识别技术相结合,设计了基于树莓派和多种生物特征识别的RFID门禁系统。结合开源的OpenCV和Dlib实现人脸特征的提取和认证,使用AS608指纹识别模块用于人体指纹特征数据的提取和指纹验证,用RFID卡片保存人体的生物特征数据,并通过MFRC522模块实现卡片数据的读取,实现门禁系统的身份认证。通过测试,系统较好地实现了门禁系统的身份验证功能,同时具有操作简单、识别速度快、数据安全保护等多种优点。
- Abstract:
- Due to the increasing demand for smart access control systems and increasing attention to the protection of personal privacy data,the system combines embedded technology with biometric identification technology to design an RFID access control system based on Raspberry Pi and multiple biometric identification.Combining the open source OpenCV and Dlib to realize the extraction and authentication of facial features,with the AS608 fingerprint recognition module for the extraction of human fingerprint characteristic data and fingerprint verification and the RFID card to save the biometric data of the human body,and reading the card data through the MFRC522 module,the access control system’s identity authentication can be realized.Through testing,the system has achieved the identity verification function of the access control system,and it also has many advantages,such as simple operation,fast recognition speed,and data security protection.
参考文献/References:
[1] 田丽,李颖.基于IPv6人脸识别考勤管理系统的设计与实现[J].深圳大学学报(理工版),2020,37(S1):165-168.
[2] 李萌昕.基于人脸识别的山东大学门禁系统建设与实现[J].深圳大学学报(理工版),2020,37(S1):92-94.
[3] 马帅.基于树莓派的人脸识别门禁系统设计与实现[D].大连:大连交通大学,2018.
[4] Chao Li,Jin Qi.A two-factor authentication design of fingerprint recognition system based on DSP and RF card[C].2010 The 2nd International Conference on Computer and Automation Engineering(ICCAE),2010:441-445.
[5] 陈华,张小刚,童调生.一种基于指纹识别的IC卡门禁系统[J].计算机工程,2002(7):202-203.
[6] 吴凯枫,张立新,王军昂,等.基于树莓派的人脸识别门禁系统[J].电子测试,2021(17):5-7.
[7] 高明,康晓凤,孙典,等.基于树莓派的人脸识别门禁系统[J].软件工程,2021,24(7):49-51.
[8] 王瑞琦,郭柯延,薛晓冬.基于指纹识别的实验室门禁系统设计[J].国外电子测量技术,2021,40(7):160-163.
[9] 赵宏,梁喜军,杨玉东,等.嵌入式人脸识别系统的开发[J].长安大学学报(自然科学版),2015,35(S1):293-297.
[10] Phawinee S,Cai J F,Guo Z Y,et al.Face recognition in an intelligent door lock with ResNet model based on deep learning[J]. Journal of Intelligent & Fuzzy Systems,2021,40(4): 8021-8031.
[11] 余璀璨,李慧斌.基于深度学习的人脸识别方法综述[J].工程数学学报,2021,38(4):451-469.
[12] 汪鹏鹏.基于face_recognition的人脸识别平台研究及应用[D].成都:西南交通大学,2019.
[13] 张乐,王悦.基于STM32的指纹识别系统设计[J].沈阳大学学报(自然科学版),2019,31(2):113-117.
[14] 李明娟,李海龙.单片机和RFID技术的智能门禁系统设计[J].实验室研究与探索,2016,35(11):123-126.
[15] Lamia Rzouga Haddada,Najoua Essoukri Ben Amara.Double watermarking-based biometric access control for radio frequency identification card[J].International Journal of RF and Microwave Computer-Aided Engineering,2019,29(11).
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备注/Memo
收稿日期:2021-10-29
基金项目:国家自然科学基金资助项目(61802319)