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Optimal Generation of Iris Codes for Iris Recognition
2017
IEEE Transactions on Information Forensics and Security
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The calculation of binary iris codes from feature values (e.g. the result of Gabor transform) is a key step in iris recognition systems. ...
In this paper, we illustrate the iris code calculation from the perspective of optimization. ...
First, We investigate the iris code production from the perspective of optimization. ...
doi:10.1109/tifs.2016.2606083
fatcat:7igds7aznzbelgbncb37itrude
Feature Extraction for Iris Recognition Based on Optimized Convolution Kernels
[chapter]
2013
Lecture Notes in Computer Science
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In this paper, we propose an efficient feature extraction method for iris recognition based on convolution kernels, learned from a database of irises. ...
We show that the proposed method reaches state-of-the-art performance and can prohibit attackers from generating spoofed irises if the optimized convolution kernel is safely stored. ...
Two iris codes generated for the same iris image, (a) an iris code generated with imaginary part of the 2D Gabor filter, (b) an iris code generated with randomly initialized and optimized convolution kernel ...
doi:10.1007/978-3-642-41184-7_15
fatcat:54x4tvblwjc6hlmid3cltb4ejy
Feature Extraction Techniques for Iris Recognition System: A Survey
2020
International Journal of Innovative Research in Computer Science & Technology
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This paper performed a literature review on different techniques of feature extraction of iris recognition. ...
The effective recognition accuracy, reduction of misclassification of two iris templates mostly depends on feature extraction techniques. ...
INTRODUCTION The iris recognition is a biological verification technique that applies recognition of pattern approach through the resolution of the great images of the irises of a person's eyes. ...
doi:10.21276/ijircst.2020.8.2.5
fatcat:ctkcca5qurc5dlq6kqmrwc67uy
Neural Network Based Normalized Fusion Approaches for Optimized Multimodal Biometric Authentication Algorithm
2016
Circuits and Systems
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Normalized score level fusion approach is applied and optimized, encoded for matching decision. It is a multilevel wavelet, phase based fusion algorithm. ...
Every year the amount spent for the recovery of passwords is increased. After the twin tower incident on Sep 11, 2011, all realized the need for security [3] . ...
Each sub image of iris is represented by wavelet coefficients to generate iris binary code for recognition. Iris recognition module contains segmentation, feature code generation. ...
doi:10.4236/cs.2016.78103
fatcat:hf6u3nt6hnhpzfkdmzzxoh4qo4
Extending the imaging volume for biometric iris recognition
2005
Applied Optics
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We apply Wavefront Coded imaging to extend the imaging volume of the iris recognition application. ...
Unlike a traditional optical design, in which a large imaging volume is traded off for diminished imaging resolution and capacity for collecting light, Wavefront Coded imaging is a computational imaging ...
ST Microelectronics provided the iris recognition software and valuable insight into their algorithm. ...
doi:10.1364/ao.44.000701
pmid:15751852
fatcat:lf5n72p7rnfpfg6z5hqcgfdt74
Two Approaches Based on Genetic Algorithm to Generate Short Iris Codes
2012
International Journal of Intelligent Systems and Applications
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This paper has the following contributions in iris recognition compass: first, novel parameters selection for Gabor filters to extract the iris features. ...
The experimental results show that generated iris codes by optimizing the Gabor parameters approach is mo re distinctive and compact than ones based on feature selection approach. ...
Acknowledgement We highly appreciate Iran Research Centre of Intelligent Signal Processing (RCISP) fo r its support to this research as a part of MSc thesis. ...
doi:10.5815/ijisa.2012.08.08
fatcat:wgmrakdun5eohnjjeaq37vvoxe
Recognition of motion blurred iris images
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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This paper presents a first systematic study on the issue of motion blurred iris image recognition. Firstly, the reason of generating motion blurred iris images is analyzed. ...
It is inevitable to capture a portion of iris images with motion blur during iris recognition. ...
Therefore, it is certainly not optimal for matching motion blurred iris images. ...
doi:10.1109/btas.2013.6712691
dblp:conf/btas/LiuST13a
fatcat:vjcxiq3q7nczlnwrl7ol65wefy
Point spread function engineering for iris recognition system design
2010
Applied Optics
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Undersampling in the detector array degrades the performance of iris-recognition imaging systems. ...
We find that an undersampling of 8 × 8 reduces the iris-recognition performance by nearly a factor of 4 (on CASIA iris database), as measured by the false rejection ratio (FRR) metric. ...
Joe van der Gracht for engaging discussions on the subject of undersampling in irisrecognition systems. ...
doi:10.1364/ao.49.000b26
pmid:20357839
fatcat:bgajoc5kcbe6jjf7c44p2w4vaq
Optimization of Iris Codes for Improved Recognition
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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While several approaches have been presented for generating iris codes, relatively few comparison techniques have been proposed. ...
The texture of the iris is commonly represented as an iris code in iris recognition systems. ...
Acknowledgement The authors would like to thank NIST and UND for granting access to the MBGC dataset. ...
doi:10.1109/cvprw.2014.13
dblp:conf/cvpr/MahadeoPR14
fatcat:f5c3jdafzrfxhpfmiivrvkkvb4
Recognition of Human Iris Using Accurate Iris Map
2014
IOSR Journal of Computer Engineering
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Finally, we applied Simulated Annealing (SA) technique to optimize the parameters of GFB in order to achieve the best recognition rate. ...
In real-time Iris Recognition, Iris Localization is very important step for Iris Recognition. So, the Iris Masks plays an important role in iris recognition. ...
The next stage is the encoding technique, where the iris code is generated. Then, the iris code is stored in the database and it is useful for the verification process or matching. ...
doi:10.9790/0661-16171722
fatcat:wd4bvfm4qbf6fj3avbz2pwkkau
Multi-Modal Iris Recognition System based on Convolution Neural Network
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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In this paper, a multi-modal iris recognition system is proposed. The features are extracted using convolutional neural network and softmax classifier is used for multi-class classification. ...
Iris is most promising bio-metric trait for identification or authentication. ...
[6] used general image descriptor as SIFT( shift invariant feature transform ) for feature extraction. This work mainly focuses on recognition accuracy of iris recognition. Alaslani et al. ...
doi:10.35940/ijitee.j8911.0881019
fatcat:zvzfznxbtzbknb6x7qzpatkrlq
IRIS Recognition based on Non Linear Dimensionality Reduction of IRIS Code with KPCA and SVM based Classification
2012
International Journal of Computer Applications
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Keywords Reduction of IRIS Code, KPCA and SVM. ...
With the increase of number of features recognition error decreases and accuracy increases, but other complexities like space complexity for storing the features and time complexity for optimizing the ...
A novel iris segmentation scheme based on the chain code and collarette area localization is proposed to improve the iris recognition systems accuracy [5] . ...
doi:10.5120/6326-8681
fatcat:7wjoiem65nbypaacaela4dv5um
Gender Classification From The Iris Code Used For Recognition
2017
International Journal of MC Square Scientific Research
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In this paper, we present a new method for gender classification based on features of the iris texture selected by mutual information to improve gender classification of face images. ...
We also showed improved results by fusion of texture features with best features selected independently from the left and right irises based on selection of features using rank feature selection method ...
Introduction Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes ...
doi:10.20894/ijmsr.117.009.001.027
fatcat:7ja6323dfffprjuvw6jsek3s6q
Iris Matching Based on Personalized Weight Map
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The weight map reflects the robustness of an encoding algorithm on different iris regions by assigning an appropriate weight to each feature code for iris matching. ...
However, most state-of-the-art iris recognition methods use a uniform matching strategy, where features extracted from different regions of the same person or the same region for different individuals ...
ACKNOWLEDGMENTS This work is funded by the National Natural Science Foundation of China (Grant Nos. 60736018, 61075024) and the International S&T Cooperation Program of China (Grant No. 2010DFB14110). ...
doi:10.1109/tpami.2010.227
pmid:21173439
fatcat:sxzuwc55gvagdamimhibmsdwyy
ATM Security System using Iris Recognition by Image Processing
2020
International Journal of Engineering Research and
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Iris recognition is a part of biometric identification which offers a new solution for personal identification, authentication and security by analyzing the random pattern of the iris. ...
The iris recognition system automatically recognizes the identity of a person from a new eye image by comparing it to the human iris patterns stored in an iris template database. ...
[7] , proposed a method for optimal generation of iris codes for iris recognition. ...
doi:10.17577/ijertv9is070414
fatcat:6yxxdqirfng5rgj57q4gs7mcai
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