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New iris recognition method for noisy iris images
2012
Pattern Recognition Letters
Preserved Fulltext
To overcome these problems, we propose a new iris recognition algorithm for noisy iris images. This research is novel in the following three ways compared to previous works. ...
The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. ...
Conclusion We propose a new iris recognition method for the iris images degraded by noisy factors. ...
doi:10.1016/j.patrec.2011.08.016
fatcat:ix5x3bj2c5gkze55lcjvykz3la
A Literature Review on Iris Segmentation Techniques for Iris Recognition Systems
2013
IOSR Journal of Computer Engineering
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A review of various segmentation approaches used in iris recognition is done in this paper. The survey is represented in tabular form for quick reference. ...
The performance of the iris recognition systems depends heavily on segmentation and normalization techniques. ...
Segmentation approach based on Fourier spectral density A new segmentation method for noisy frontal view iris images which is captured with minimum cooperation based on the Fourier spectral density [7 ...
doi:10.9790/0661-1114650
fatcat:wqz2anfa6zel5czataxxcgfvem
Access Office by Iris Recognition
2010
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
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Noisy iris image due lighting reflections
61
3.20
Noisy iris image due specular reflections.
62
3.21
Noisy iris image due to poor focus.
62
3.22
Partial captured iris
63
3.23
Out-of-iris ...
69
3.28
Use Case Diagrams for access windows by iris recognition
68
4.2
Sequence diagram for access widows by iris recognition
69
4.3
Number of training images vs. failure rate
70
4.4
Number ...
doi:10.1109/ams.2010.72
fatcat:lkg3onx4ybhsjopza5e6ka5ohi
Performance Evaluation of Proposed Segmentation Framework with Existing Techniques for Noisy Iris Images
2015
International Journal of Computer Applications
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While different iris segmentation techniques continue to appear, there has been a lack of recognition accuracy of existing methods with noisy iris dataset. ...
To handle iris images (captured on less constrained conditions) with some types of noise (iris obstructions and specular reflection), the authors shows the results of performance evaluation of their proposed ...
The authors future work will concern segmenting noisy irises when the lower or upper eyelids and eyelashes cover the pupil of the iris, which is currently not handled and optimization of the code, so that ...
doi:10.5120/19939-1723
fatcat:6vbcexsww5fvjavu3awz465qna
Segmentation Approach for a Noisy Iris Images Based on Hybrid Techniques
2020
Engineering and Technology Journal
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Iris recognition indicates the procedure of recognizing humans based on their both left and right iris patterns. ...
Nowadays there is rapid progress in realizing an old dream of developing a user-friendly recognition system. Most of the new projects became a nightmare of security of the system. ...
PROPOSED METHOD Iris segmentation is an effective and vital step for implementing the iris recognition system. ...
doi:10.30684/etj.v38i11a.450
fatcat:drk2cyc4ujcx3dpy67vtcqbt6y
Wavelet Packet Based IRIS Texture Analysis for Person Authentication
2013
Signal & Image Processing An International Journal
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Most of the researchers has been focused on the development of new iris pre-processing and recognition algorithms for good quail iris images. ...
In this iris information is encoded based on energy of wavelet packets.. Our proposed work significantly decreases the error rate in recognition of noisy images. ...
Iris normalization converts iris image from Cartesian coordinates to Polar coordinators. This work propose a new iris recognition method that uses wavelet packets decomposition using Haar wavelet. ...
doi:10.5121/sipij.2013.4208
fatcat:g3da5b3gtbccdf6c522ypjv7uy
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
2007
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We propose an iris classification method that divides the segmented and normalized iris image into six regions, makes an independent feature extraction and comparison for each region, and combines each ...
Experiments show a substantial decrease, higher than 40 percent, of the false rejection rates in the recognition of noisy iris images. ...
As reported in Section 4, this method contributes for a substantial decrease of the error rates in the recognition of noisy iris images. ...
doi:10.1109/tpami.2007.1016
pmid:17299218
fatcat:4me3doe2hnc6vnnixgwwtiohyy
Iris Image Enhancement for the Recognition of Non-ideal Iris Images
2016
KSII Transactions on Internet and Information Systems
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Iris recognition for biometric personnel identification has gained much interest owing to the increasing concern with security today. ...
The image quality plays a major role in the performance of iris recognition systems. ...
We are also thankful to SOCIA lab of the University of Beira Interior for using UBIRIS.v2 iris images dataset. ...
doi:10.3837/tiis.2016.04.025
fatcat:3vlhaidjtjehxfeox6t32e4ije
A New User Dependent Iris Recognition System Based on an Area Preserving Pointwise Level Set Segmentation Approach
2009
EURASIP Journal on Advances in Signal Processing
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This paper presents a new user dependent approach in iris recognition systems. ...
Another contribution of our work is in the iris segmentation phase, where a new pointwise level set approach with area preserving has been used for determining inner and outer iris boundaries, both exclusively ...
Conclusions We have proposed a new user-dependent iris recognition method. ...
doi:10.1155/2009/980159
fatcat:a5lwaez4wraqvonxdt5q47abua
Fast and efficient iris image enhancement using logarithmic image processing
2010
Biometric Technology for Human Identification VII
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We propose a new iris recognition algorithm for enhancement of normalized iris images. ...
Low quality iris images such as blurry, low resolution images with poor illumination create a big challenge for iris recognition systems. ...
Thus, methods for iris image enhancement play an important part in contributing to the accuracy of iris recognition systems. ...
doi:10.1117/12.851351
fatcat:q4mxlifounetrffdbrlvwnpggq
Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
[article]
2020
arXiv
pre-print
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The idea is that it can be used as basis for someone wishing to entering in this research topic. ...
among the most active in pursuing disruptive solutions for obtaining such extremely ambitious kind of automata. ...
image acquisition conditions. f) A Method for the Identification of Noisy Regions in Normalized Iris Images [40] : This paper proposes a new method for the identification of noisy regions in normalized ...
arXiv:2001.09703v2
fatcat:hugkig4wxvgaldscwbobn6yhuy
A Method for the Identification of Noisy Regions in Normalized Iris Images
2006
18th International Conference on Pattern Recognition (ICPR'06)
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In this paper we propose a new method for the identification of noisy regions in normalized iris images. ...
We propose the extraction of 8 well known features for each pixel of the images followed by the classification through a neural network. ...
Global methods seek for the classification of the whole image, as "poor focused" or "obstructed iris". ...
doi:10.1109/icpr.2006.100
dblp:conf/icpr/ProencaA06
fatcat:rnij3rghlnenfe65fq64knne7y
Noisy Iris Recognition Based on Deep Neural Network
2020
Menoufia Journal of Electronic Engineering Research
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It may ariseto the iris recognition systems due to environmental conditions that can affects the features extracted from the iris images. ...
Iris recognition is one of the Biometric systems used for persons identification based on their special iris traits, which are unique featuresfor each individual. ...
on a new collection of iris images. ...
doi:10.21608/mjeer.2020.103276
fatcat:zifmyobppvhgpejwinvirbjjrm
Improving Iris Recognition Accuracy via Cascaded Classifiers
[chapter]
2004
Lecture Notes in Computer Science
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Then the iris blob matcher is resorted to determine the input iris' identity because it is capable of recognizing noisy images. ...
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. ...
Their thanks also go to those who have contributed to the establishment of the CASIA Iris Image Database. ...
doi:10.1007/978-3-540-25948-0_58
fatcat:h4uzxd6b4nfqxdl6c6ihqajz4i
The NICE.I: Noisy Iris Challenge Evaluation - Part I
2007
2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems
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First, instead of the complete iris recognition process, it exclusively evaluates the iris segmentation and noise detection stages, allowing the independent evaluation of one of the main recognition error ...
Second, it operates on highly noisy images that were captured to simulate less constrained imaging environments and constitute the second version of the UBIRIS database (UBIRIS.v2). ...
-Soft Computing and Image Analysis Group in the contest organization and in the UBIRIS.v2 database construction. ...
doi:10.1109/btas.2007.4401910
fatcat:5dkrcuulbzdjjo6iumqicir7le
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