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1
Content available Iris Recognition Based on Local Grey Extremum Values with CNN-based approaches
Malinowski Kamil, Saeed Khalid
Machine Graphics and Vision
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2023
|
Vol. 32, No. 3/4
205--232
EN
One of the most important steps in the operation of biometric systems based on iris recognition of the human eye is pattern comparison. However, the comparison of the recorded pattern with the pattern stored in the database of the biometric system cannot function properly without effective extraction of key features from the iris image. In the presented work, we propose an iris recognition system based on image feature extraction and extreme grey shade analysis. Harris-Laplace, RANSAC and SIFT descriptor algorithms were used to find and describe key points. In the experimental part, two methods were used to compare descriptors: the Brute Force method and the Siamese Network method. IIT Delhi Iris Database (version 1.0), MMU v2 database, UBIRIS v1, UBIRIS v2 image databases were used for the study. The proposed method utilizes a different approach when using the generalized corner extraction algorithm (Harris-Laplace algorithms) for comparing iris patterns. In addition, we prove that the use of the descriptor and the Siamese neural networks significantly improves the results obtained in the original method based on paths alone in the case of well contrasted infrared images with very low resolutions.
2
Content available The viscoelasticity, anisotropy and location-dependence of mechanical properties of rabbit iris investigated using uniaxial tensile tests
Li Tan, Qin Xiao, Liu Zhicheng, Zhang Haixia, Li Lin
Acta of Bioengineering and Biomechanics
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2023
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Vol. 25, no. 2
85--92
EN
Abnormal iris mechanical properties have been considered to be an important cause of pupillary-block and angle-closure glaucoma. In this research, viscoelasticity, anisotropy and location-dependence of mechanical properties of rabbit iris were investigated using uniaxial tensile test. Methods: Iris strips were taken along three directions: inner-circumferential direction (ICD), outer-circumferential direction (OCD) and radial direction (RD), respectively. Quasi-static tensile tests and stress–relaxation tests were applied on the iris strips. Then, the stress–stretch data was fitted with third order Ogden model; the stress–relaxation data was fitted with the third order Prony series model. Through comparing the tangent modulus and relaxation limit of the strips from different directions and locations, the viscoelasticity, anisotropy and location-dependence of mechanical properties of rabbit iris were explored. Results: The tangent moduli of iris at the stretch of 1.05 along ICD, OCD, and RD were 3.2 ± 1.4 kPa, 4.2 ± 2.6 kPa, 1.5 ± 0.8 kPa, respectively. Iris strips in ICD and OCD were found to have almost the same stress–relaxation behavior, and both relaxed slower than iris strips in RD. Conclusions: The mechanical properties of the iris were typically nonlinear, viscoelastic, anisotropic and location-dependent. The stress growth rate of the circumferential direction iris strip is significantly lower than that of RD and the stress–relaxation rate is significantly higher than that of the RD. That is, the iris is more prone to deformation in RD and the stress–retention ability after deformation in RD is weak, which is consistent with the fact that the iris bombe more likely happens in RD in vivo. The results of this study may also help us to establish a more accurate finite element model to simulate the flow field of humor aqueous and find the key factor of pupillary-block.
3
Content available Generating Synthetic Iris Images for Testing Biometric Systems
Kasperuk Ł., Tabędzki M.
Advances in Computer Science Research
|
2018
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Nr 14
69--86
EN
Usage of biometric methods of person identification has recently become quite popular. Many developers are working on new biometric systems which have to be tested using biometric data. This work proposes the ways of generating synthetic biometric data designed for testing of iris based biometric systems. Two iris texture generation methods are presented here – one is based on Perlin noise, the other on the image quilting algorithm. Also a hybrid approach combining both methods is presented. The results of tests were also presented to demonstrate the utility of images generated using these methods in testing biometric systems and the consistency of the results obtained with the results for real images.
PL
Rośnie popularność stosowania metod biometrycznych w identyfikacji osób, wielu badaczy pracuje nad nowymi systemami, a wymaga to danych, na których można by je testować. W niniejszej pracy zaproponowano sposób generowania sztucznych danych biometrycznych dla potrzeb testowania systemów bazujących na biometrii tęczówki ludzkiego oka. Przedstawiono dwie metody – jedna bazuje na szumie Perlina, natomiast druga na algorytmie generowania tekstu image quilting. Przedstawiono również podejście hybrydowe, łączące obydwie metody. Zawarto również wyniki testów, mających pokazać użyteczność obrazów wygenerowanych przy pomocy zaproponowanych metod w opisywanym zastosowaniu. Pokazano również ich spójność i podobieństwo do prawdziwych danych.
4
Content available Quality parameter assessment on iris images
Makinana S., Malumedzha T., Nelwamondo F. V.
Journal of Artificial Intelligence and Soft Computing Research
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2014
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Vol. 4, No. 1
21--30
EN
Iris biometric for personal identification is based on capturing an eye image and obtaining features that will help in identifying a human being. However, captured images may not be of good quality due to variety of reasons e.g. occlusion, blurred images etc. Thus, it is important to assess image quality before applying feature extraction algorithm in order to avoid insufficient results. Poor quality images may affect the recognition as they have few sufficient feature information. Moreover, existing quality measures focuses on parameters or factors than feature information. In this paper, iris quality assessment research is extended by analysing the effect of entropy, contrast, area ratio, occlusion, blur, dilation and sharpness of an iris image which determines the iris size, amount of information and clearness of the features. A weighting method based on principal component analysis (PCA) is proposed to determine the influence each parameter has on the quality score. To test the proposed technique; Chinese Academy of Science Institute of Automation (CASIA), Internal Collection (IC) and University of Beira Interior (UBIRIS) databases are used. A conclusion is drawn that the combination of blur, dilation and sharpness parameters have the most influence in the quality of the image as they weighed more than other parameters
5
Content available Segmentation and edge detection based on modified ant colony optimization for iris image processing
Biniaz A., Abbasi A.
Journal of Artificial Intelligence and Soft Computing Research
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2013
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Vol. 3, No. 2
133--141
EN
Ant colony optimization (stocktickerACO) is a meta-heuristic algorithm inspired by food searching behavior of real ants. Recently stocktickerACO has been widely used in digital image processing. When artificial ants move in a discrete habitat like an image, they deposit pheromone in their prior position. Simultaneously, vaporizing of pheromone in each iteration step avoids from falling in the local minima trap. Iris recognition because of its great dependability and non-invasion has various applications. simulation results demonstrate stocktickerACO algorithm can effectively extract the iris texture. Also it is not sensitive to nuisance factors. Moreover, stocktickerACO in this research preserves details of the various synthetic and real images. Performance of ACO in iris segmentation is compared with operation of traditional approaches such as canny, robert, and sobel edge detections. Experimental results reveal high quality and quite promising of stocktickerACO to segment images with irregular and complex structures.
6
Content available remote Person identification based on iris image analysis with special emphasis on hardware implementation - statistical analysis
Grabowski K.
Zeszyty Naukowe. Elektryka / Politechnika Łódzka
|
2011
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z. 123
67-75
EN
The paper presents main results of PhD dissertation concerning authentication systems based on the analysis of iris pattern. Two main threads of the work are presented: iris image segmentation and its influence on the feature extraction algorithm and methods of analysis of biometric system efficiency.
PL
W artykule przedstawiono główne rezultaty badań zawartych w rozprawie autora dotyczącej systemów uwierzytelniania osób na podstawie obrazu tęczówki oka. Zaprezentowano dwa główne wątki pracy doktorskiej: segmentacji obrazu tęczówki i jej wpływu na proces ekstrakcji cech oraz metod analizy wydajności biometrycznej systemów uwierzytelniania.
7
Content available remote Person identification based on iris image analysis with special emphasis on hardware implementation
Grabowski K.
Zeszyty Naukowe. Elektryka / Politechnika Łódzka
|
2010
|
z. 122
13-18
EN
The paper presents main results of PhD dissertation concerning authentication systems based on the analysis of iris pattern. The work presents the possibility of computing hardware acceleration of this process.
PL
W artykule przedstawiono główne rezultaty badań zawartych w rozprawie autora dotyczącej systemów uwierzytelniania osób na podstawie obrazu tęczówki oka. Zaprezentowano wątek sprzętowej implementacji systemu uwierzytelniania 1:N przy użyciu układów FPGA i DSP.
8
Content available remote Multimodal biometric authentication based on score level fusion using support vector machine
Wang F., Han J.
Opto-Electronics Review
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2009
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Vol. 17, No. 1
59-64
EN
Fusion of multiple biometrics for human authentication performance improvement has received considerable attention. This paper presents a novel multimodal biometric authentication method integrating face and iris based on score level fusion. For score level fusion, support vector machine (SVM) based fusion rule is applied to combine two matching scores, respectively from Laplacianface based face verifier and phase information based iris verifier, to generate a single scalar score which is used to make the final decision. Experimental results show that the performance of the proposed method can bring obvious improvement comparing to the unimodal biometric identification methods and the previous fused face-iris methods.
9
Identyfikacja osób na podstawie wzoru tęczówki
Rachubiński M.
Studia Informatica
|
2008
|
Vol. 29, nr 2A
23-37
PL
W artykule zaprezentowano istniejące algorytmy rozpoznawania osób na podstawie tęczówki oka oraz przedstawiono nowy algorytm ekstrakcji cech tęczówki. Algorytm wykorzystuje transformatę falkową do analizy obrazu. Kod tęczówki wyznaczony jest za pomocą współczynników falkowych na bazie słownika wedgletów.
EN
This paper present existing algorithms for personal identification based on iris pattern and propose a new algorithm for iris feature extraction. The algorithm is based on texture analysis using wavelet transform. Iris code is generated using representation of the wavelet coefficients based on the wedgelet dictionary.
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