An optical fingerprint recognition method based on diffraction field

被引:0
|
作者
Wu, Yixuan [1 ]
Liu, Yu [1 ]
Zhu, Haibitao [1 ]
Tao, Shaohua [1 ,2 ]
机构
[1] Cent South Univ, Sch Phys, Changsha 410083, Peoples R China
[2] Cent South Univ, Hunan Key Lab Nanophoton & Devices, Changsha 410083, Peoples R China
关键词
biometric technology; fingerprint recognition; diffraction field; optical sensing; SYSTEM; IDENTIFICATION;
D O I
10.1088/2040-8986/ad6e9b
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Biometric technology, which authenticates identities with high reliability and stability by comparing the unique characteristics of human bodies, is widely used in the fields of electronic labeling, information security, access control, etc. Fingerprint recognition technology, which has the advantages of easy operation, fast recognition and high safety, has become the mainstream of the information decryption and access control application. In this paper, we proposed an optical fingerprint recognition method, which fulfilled recognition by comparing the characteristic intensity distributions of the diffraction fields of fingerprints. We carried out experiments for the recognition of fingerprints from different fingers and the same finger, and cropped fingerprints. The recognition results verified the feasibility of the proposed method. The method has advantages in terms of operation speed, recognition accuracy, and tolerance for partial information loss, and provides an effective way in optical sensing.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] ICA and BP neural network based fingerprint recognition
    Zhao, Lu
    Wang, Wenyong
    PROCEEDINGS OF THE 2013 THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (ICAISE 2013), 2013, 37 : 59 - 61
  • [32] A new median filter based fingerprint recognition algorithm
    Kizrak, Ayyuce M.
    Ozen, Figen
    WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010), 2011, 3
  • [33] Unsupervised Fingerprint Recognition
    Tsai, Wei-Ho
    Lin, Jun-Wei
    Tseng, Der-Chang
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2013, E96D (09): : 2115 - 2125
  • [34] Research of Fingerprint Recognition
    Jiang, Chunfeng
    Zhao, Yulan
    Xu, Wei
    Meng, Xiangping
    EIGHTH IEEE INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, PROCEEDINGS, 2009, : 847 - +
  • [35] A Systematic Review of Fingerprint Recognition System Development
    Appati, Justice Kwame
    Nartey, Prince Kofi
    Yaokumah, Winfred
    Abdulai, Jamal-Deen
    INTERNATIONAL JOURNAL OF SOFTWARE SCIENCE AND COMPUTATIONAL INTELLIGENCE-IJSSCI, 2022, 14 (01):
  • [36] AUTOMATED FINGERPRINT RECOGNITION USING STRUCTURAL MATCHING
    HRECHAK, AK
    MCHUGH, JA
    PATTERN RECOGNITION, 1990, 23 (08) : 893 - 904
  • [37] A novel partial discharge localization method for GIL based on the 3D optical signal irradiance fingerprint and bagging-KELM
    Zang, Yiming
    Qian, Yong
    Zhou, Xiaoli
    Xu, Antian
    Sheng, Gehao
    Jiang, Xiuchen
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (15) : 2240 - 2249
  • [38] A Novel Method to Realize Optical Correlation Recognition Based on Neural Network
    Xu, Ping
    Yang, Tuo
    Liang, Kai
    Li, Xiongchao
    Long, Siwei
    Huang, Haixuan
    IEEE PHOTONICS JOURNAL, 2018, 10 (04):
  • [39] Fingerprint Recognition Using Zone Based Linear Binary Patterns
    Gowthami, A. T.
    Mamatha, H. R.
    SECOND INTERNATIONAL SYMPOSIUM ON COMPUTER VISION AND THE INTERNET (VISIONNET'15), 2015, 58 : 552 - 557
  • [40] Comparison of Matching Score Based Fusion in Latent Fingerprint Recognition
    Elihos, Alperen
    Selbes, Berkay
    Balci, Burak
    Artan, Yusuf Oguzhan
    2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU, 2022,