Enhancement of Iris recognition system based on phase only correlation

被引:0
|
作者
Arnia F. [1 ]
Pramita N. [1 ]
机构
[1] Department of Electrical Engineering, Faculty of Engineering, Syiah Kuala University, Banda Aceh, 0651-7554336
来源
Telkomnika | 2011年 / 9卷 / 02期
关键词
Biometrics; Image database; Image matching; Iris recognition; Phase only correlation (POC);
D O I
10.12928/telkomnika.v9i2.711
中图分类号
学科分类号
摘要
Iris recognition system is one of biometric based recognition/identification systems. Numerous techniques have been implemented to achieve a good recognition rate, including the ones based on Phase Only Correlation (POC). Significant and higher correlation peaks suggest that the system recognizes iris images of the same subject (person), while lower and unsignificant peaks correspond to recognition of those of difference subjects. Current POC methods have not investigated minimum iris point that can be used to achieve higher correlation peaks. This paper proposed a method that used only onefourth of full normalized iris size to achieve higher (or at least the same) recognition rate. Simulation on CASIA version 1.0 iris image database showed that averaged recognition rate of the proposed method achieved 67%, higher than that of using one-half (56%) and full (53%) iris point. Furthermore, all (100%) POC peak values of the proposed method was higher than that of the method with full iris points. © 2011 Universitas Ahmad Dahlan.
引用
收藏
页码:387 / 394
页数:7
相关论文
共 50 条
  • [41] Half Iris Gabor Based Iris Recognition
    Ali, Musab A. M.
    Tahir, Nooritawati Md
    2014 IEEE 10TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2014), 2014, : 282 - 287
  • [42] Iris recognition: A Java']Java based implementation
    Roy, Kaushik
    Hudgin, Darrel
    Bhattacharya, Prabir
    Debnath, Ramesh Chandra
    PROCEEDINGS OF 10TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT 2007), 2007, : 407 - +
  • [43] Iris Recognition using Contrast Enhancement and Spectrum-based Feature Extraction
    Kumar, Deepanshu
    Sastry, Mahati
    Manikantan, K.
    FIRST INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND SCIENCE - ICETETS 2016, 2016,
  • [44] Iris Recognition Based on Empirical Mode Decomposition
    Han Min
    Peng Yuhua
    Sun Weifeng
    2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 1054 - 1058
  • [45] An efficient CNN based encrypted Iris recognition approach in cognitive-IoT system
    Ahmed Sabry Shalaby
    Ramadan Gad
    Ezz El-Din Hemdan
    Nawal El-Fishawy
    Multimedia Tools and Applications, 2021, 80 : 26273 - 26296
  • [46] Infant Iris Biometric Recognition System Can the iris be used for a secure infant recognition system?
    Nelufule, Norman
    de Kock, Anton
    2023 CONFERENCE ON INFORMATION COMMUNICATIONS TECHNOLOGY AND SOCIETY, ICTAS, 2023, : 42 - 47
  • [47] Design and application of iris recognition system based on neural network
    Yu, C.
    Dai, F.
    Zhang, J.
    INFORMATION SCIENCE AND MANAGEMENT ENGINEERING, VOLS 1-3, 2014, 46 : 737 - 744
  • [48] Multimodal Biometric System Based on Fingerprint Identification and Iris Recognition
    Besbes, Feten
    Trichili, Hanene
    Solaiman, Basel
    2008 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5, 2008, : 1224 - +
  • [49] An Iris Recognition System Based on Analysis of Textural Edgeness Descriptors
    Umer, Saiyed
    Dhara, Bibhas Chandra
    Chanda, Bhabatosh
    IETE TECHNICAL REVIEW, 2018, 35 (02) : 145 - 156
  • [50] Performance evaluation of iris based recognition system implementing PICA and ICA encoding techniques
    Dorairaj, V
    Schmid, NA
    Fahmy, G
    BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION II, 2005, 5779 : 51 - 58