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Iris Feature Extraction based on Haar Wavelet Transform

Yao Zhu Wen, Jun Zhou, Yu feng Wu, Ming Jun Wang
2014 International Journal of Security and Its Applications  
in the normalized iris image after the iris preprocessing.  ...  and extracted local extreme of the wavelet transform results as iris features, a fast matching scheme based on exclusive OR operation was performed to compute the similarity between a pair of irises.  ...  Ma [7] decomposed the normalized iris region into a series of 1-D intensity signals by Dyadic wavelet Iris Image Preprocessing Iris image preprocessing is composed of three steps: iris localization  ... 
doi:10.14257/ijsia.2014.8.4.24 fatcat:jnu2e25utvdtbibt3jjpmzevli

Iris Recognition Using Curvelet Transform Based on Principal Component Analysis and Linear Discriminant Analysis

Jie Sun, Zhe-Ming Lu, Lijian Zhou
2014 Journal of Information Hiding and Multimedia Signal Processing  
First, the iris image is preprocessed including iris localization, elimination of the eyelash shading and iris normalization.  ...  Next, the preprocessed iris image is decomposed into the N layers Curvelet coefficients by the Curvelet transform.  ...  The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.  ... 
dblp:journals/jihmsp/SunLZ14 fatcat:ebhuqzevxzeurn7wsllvt2seuq

Neural Network Based Normalized Fusion Approaches for Optimized Multimodal Biometric Authentication Algorithm

E. Sujatha, A. Chilambuchelvan
2016 Circuits and Systems  
In this paper multimodal biometric algorithm is designed by integrating iris, finger vein, palm print and face biometric traits.  ...  The integration of 4 unimodal biometric makes the system more efficient, robust and secured.  ...  Preprocessing is done for localization of iris image and is shown in Figure 2 . Iris image Edge is detected by Canny Operator, Hough transform [7] [8] .  ... 
doi:10.4236/cs.2016.78103 fatcat:hf6u3nt6hnhpzfkdmzzxoh4qo4

Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model

Richa Singh, Mayank Vatsa, Afzel Noore
2007 Signal Processing  
Experimental results show that the performance of face and iris recognition algorithms are significantly improved when the input images are preprocessed using the proposed enhancement and deformation algorithms  ...  In this paper, we propose a 2-stage preprocessing framework which consists of image enhancement and deformation techniques to increase the verification performance of image-based biometric systems.  ...  Acknowledgments The authors would like to thank Dr. A.R.  ... 
doi:10.1016/j.sigpro.2007.05.009 fatcat:7nukdeby6feufbeh2vfkiegqoa

Research of Iris Recognition Algorithm Based on Fractal Geometry Theory

Yang Duan-li, Zhao Yang, Wang Jun-hao
2015 Open Automation and Control Systems Journal  
This paper presents a blanket and missing items based on the combination of texture feature extraction algorithm, can make full use of radiation in different resolution iris texture information and texture  ...  Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular  ...  Therefore, in the actual application of iris recognition, this chapter preprocessing algorithm performance than traditional preprocessing algorithm is more excellent. B: The recognition results.  ... 
doi:10.2174/1874444301507011752 fatcat:i75ll3xo45hcxmz4dm5alqu2wa

A review of iris recognition algorithms

Richard Yew Fatt Ng, Yong Haur Tay, Kai Ming Mok
2008 2008 International Symposium on Information Technology  
A literature review of the most prominent algorithms implemented in each stage is presented.  ...  This paper provides a review of major iris recognition researches. There are three main stages in iris recognition system: image preprocessing, feature extraction and template matching.  ...  Figure 1 . 1 Stages of iris recognition algorithm Figure 2 . 2 Iris image preprocessing (a) original iris image, (b) localized iris image, (c) normalized iris image, (d) enhanced iris image  ... 
doi:10.1109/itsim.2008.4631656 fatcat:e2u5tl24ovfjlncducsc5ciwtm

Attacking Iris Recognition: An Efficient Hill-Climbing Technique

Christian Rathgeb, Andreas Uhl
2010 2010 20th International Conference on Pattern Recognition  
Furthermore, we demonstrate that reconstructing approximations of original iris images is highly non-trivial.  ...  In this paper we propose a modified hill-climbing attack to iris biometric systems. Applying our technique we are able to effectively gain access to iris biometric systems at very low effort.  ...  Hence, the applied iris recognition algorithm processes an approximation of the preprocessed iris texture.  ... 
doi:10.1109/icpr.2010.303 dblp:conf/icpr/RathgebU10 fatcat:cbncaqlyjbf7bfqwrqurqk2z2y

Noisy iris image matching by using multiple cues

Tieniu Tan, Xiaobo Zhang, Zhenan Sun, Hui Zhang
2012 Pattern Recognition Letters  
The method consists of image preprocessing, iris data matching, eye data matching, and multimodal fusion.  ...  Our method significantly outperforms all other algorithms submitted to the Noisy Iris Challenge Evaluation-Part II (NICE.II), an open contest in noisy iris image matching.  ...  Acknowledgements This work is funded by National Natural Science Foundation of China (Grant Nos. 60736018, 61075024) and International S& T Cooperation Program of China (Grant No. 2010DFB14110).  ... 
doi:10.1016/j.patrec.2011.08.009 fatcat:cp5olqlz3zg3tlhgokel26tzda


F Mohammed, E ALdaidamony, A Raid
2015 International Journal of Intelligent Computing and Information Sciences  
In evaluation with other SIFT-based iris or SIFT-based finger vein recognition algorithms, the suggested technique can overcome the difficulties of accurate extraction of key-points and clear the noise  ...  Finger vein and iris key-points are considered as one of the most talented biometric authentication techniques for its security and convenience.  ...  After preprocessing, iris image key-points can be computed, extracted for matching.  ... 
doi:10.21608/ijicis.2015.10907 fatcat:zizlvbpmbbdz7pqab5znc4npdq

Secure Iris Recognition Based on Local Intensity Variations [chapter]

Christian Rathgeb, Andreas Uhl
2010 Lecture Notes in Computer Science  
In this paper we propose a fast and efficient iris recognition algorithm which makes use of local intensity variations in iris textures.  ...  The presented system provides fully revocable biometric templates suppressing any loss of recognition performance.  ...  Acknowledgements We would like to thank Michael Liedlgruber for providing us with an implementation of the CLAHE contrast enhancement technique.  ... 
doi:10.1007/978-3-642-13775-4_27 fatcat:g43rklt6ujeohcik34qjbcvefq

Transform Domain Based Iris Recognition using EMD and FFT

Sateesh Kumar H C, Abhilash S K, Raja K B, Venugopal K R
2017 IOSR Journal of VLSI and Signal processing  
It is observed that the values of CRR and EER are better in the case of propsed algorithm compared to existing algorithms.  ...  Circular Hough Transform is used in the Preprocessing stage to extract circular part of eye.  ...  Preprocessing: The iris part from an eye image is obtained using preprocessing such as (i) Iris Localization and (ii) Iris Normalization.  ... 
doi:10.9790/4200-0701010815 fatcat:gzsyssbjr5h37b3y5kqho6dsay

Enhanced Iris Recognition System – an Integrated Approach to Person Identification

Gaganpreet Kaur, Akshay Girdhar, Manvjeet Kaur
2010 International Journal of Computer Applications  
This paper discusses about Enhanced iris recognition which is used to overcome some of the problem like to automate the recognition of the iris by reducing complexity and increasing algorithm speed.  ...  Various challenges are faced while working with the iris recognition system. Iris recognition systems make use of the uniqueness of the iris patterns to derive a unique mapping.  ...  Preprocessing Stage It includes determining the boundary of the iris within the eye image, and extracts the iris portion from the image to facilitate its processing.  ... 
doi:10.5120/1182-1630 fatcat:jcypgxeu4rdbjpi7ipbjlaunhm

Iris recognition with a database of iris images obtained in visible light using smartphone camera

Mateusz Trokielewicz
2016 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)  
First, we manage to show that after simple preprocessing, such images offer good visibility of iris texture even in heavily-pigmented irides.  ...  To our best knowledge, this is the first database of iris images captured using a mobile device, in which image quality exceeds this of a near-infrared illuminated iris images, as defined in ISO/IEC 19794  ...  of Technology for their help with database collection and manual processing of database images.  ... 
doi:10.1109/isba.2016.7477233 dblp:conf/isba/Trokielewicz16 fatcat:z36q7g3cxjehdpj64uxinc2eya

SIFT based iris recognition with normalization and enhancement

Gongping Yang, Shaohua Pang, Yilong Yin, Yanan Li, Xuzhou Li
2012 International Journal of Machine Learning and Cybernetics  
In Comparison with other SIFT-based iris recognition algorithms, the proposed method can overcome the difficulties of extreme point extraction and exclude the noise points without feature loss.  ...  SIFT is a novel and promising method for iris recognition. However, some shortages exist in many related methods, such as difficulty of feature extraction, feature loss, and noise point introduction.  ...  After preprocessing, iris image features can be computed, extracted for matching. Many feature extraction algorithms have been studied and proposed.  ... 
doi:10.1007/s13042-012-0101-0 fatcat:jhst6hzr6jfajordi56nrcbyji

Neural Network Approach to Iris Recognition in Noisy Environment

Kamal Hajari, Ujwalla Gawande, Yogesh Golhar
2016 Procedia Computer Science  
This research paper proposes two algorithms, first, a novel method for removing noise from the iris image and second, a texture feature extraction method using a combined approach of Local Binary Pattern  ...  Our primary focus is to develop the reliable iris recognition system that can work in a noisy imaging environment and to increase the iris recognition rate on CASIA and MMUiris datasets.  ...  Existing algorithms works well but still there is a scope of improvement in performance of existing preprocessing and feature extraction algorithms 6 .  ... 
doi:10.1016/j.procs.2016.02.116 fatcat:3uopjfhsorbr7g55pmpnltepci
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