An Improved Iris Recognition Method Based on Discrete Cosine Transform and Gabor Wavelet Transform Algorithm

被引：0
作者：
Chen, Xiao-hong [1 ]
Wang, Jie-sheng [2 ,3 ]
Ruan, Yan-lang [2 ]
Gao, Shu-zhi [4 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Mech Engn & Automat, Anshan 114051, Peoples R China
[2] Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114051, Peoples R China
[3] Univ Sci & Technol Liaoning, Natl Financial Secur & Syst Equipment Engn Res Ct, Anshan, Peoples R China
[4] Shenyang Univ Chem Technol, Shenyang 110000, Liaoning, Peoples R China
来源：
ENGINEERING LETTERS | 2019年 / 27卷 / 04期
关键词：
Iris recognition; Gabor wavelet transform algorithm; discrete cosine transform method; IMAGE;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An improved Iris recognition method was proposed by adopting the discrete cosine transform (DCT) method and Gabor wavelet transform algorithm. The combination of the calculus operator method, improved Hough transform and the two-step edge detection method is adopted to realize the iris localization and extraction. The discrete cosine transform method and the Gabor wavelet transform are utilized to form the propose improved Gabor wavelet transform for iris localization and extraction. Finally, the nearest neighbor distance detector and Euclidean distance are used as the classifier to realize the iris recognition. Simulation experiments are carried out to prove the effectiveness of the proposed strategy.
引用
收藏
页码：676 / 685
页数：10
相关论文
共 26 条
[1]   A new difference image creation method based on deep neural networks for change detection in remote-sensing images [J].
Cao, Guo ;
Wang, Bisheng ;
Xavier, Haro-Carrion ;
Yang, Di ;
Southworth, Jane .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (23) :7161-7175
[2]   Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art [J].
Czajka, Adam ;
Bowyer, Kevin W. .
ACM COMPUTING SURVEYS, 2018, 51 (04)
[3]   Iris recognition through machine learning techniques: A survey [J].
De Marsico, Maria ;
Petrosino, Alfredo ;
Ricciardi, Stefano .
PATTERN RECOGNITION LETTERS, 2016, 82 :106-115
[4]  
De Smedt P., 2017, ARCHAEOL PROSPECT, P1
[5]   Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI [J].
Gholipour, Ali ;
Afacan, Onur ;
Aganj, Iman ;
Scherrer, Benoit ;
Prabhu, Sanjay P. ;
Sahin, Mustafa ;
Warfield, Simon K. .
MEDICAL PHYSICS, 2015, 42 (12) :6919-6932
[6]  
Guojia Hou, 2017, IAENG International Journal of Computer Science, V44, P445
[7]   Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution [J].
Hsieh, Sheng-Hsun ;
Li, Yung-Hui ;
Tien, Chung-Hao ;
Chang, Chin-Chen .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (12) :3342-3350
[8]   Investigation of Isoelectronic Doping in p-GaN Based on the Thermal Quenching of UVL Band [J].
Huang, Yang ;
Liu, Zhiqiang ;
Yi, Xiaoyan ;
Guo, Yao ;
Yuan, Guodong ;
Wang, Junxi ;
Wang, Guohong ;
Li, Jinmin .
IEEE PHOTONICS JOURNAL, 2016, 8 (05)
[9]  
Kang E. P., 2010, OPTICAL ENG, V49, P128
[10]  
Ko J., 2015, AIAA J, V36, P1451
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