• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.415-426
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• 2021

The implementation of iris biometrics on smartphone devices has recently become an emerging research topic. As the use of iris biometrics on smartphone devices becomes more widely adopted, it is to be expected that there will be similar efforts in the research community to beat the biometric by exploring new spoofing methods and this will drive a corresponding requirement for new liveness detection methods. In this paper we addresses the problem of presentation attacks (Spoofing) against the Iris Recognition System on mobile devices and propose novel Presentation Attack Detection (PAD) method which suitable for mobile environment.

• The Journal of Korean Medicine
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• v.39 no.2
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• pp.56-63
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• 2018

Objectives: The purpose of this study was to investigate the usefulness of some iris parameters in predicting the 8 constitution Methods: From November 2012 to February 2018, we retrospectively reviewed the medical records of 171 patients who were visited to the Korean Oriental Clinic. We conducted a stepwise binary logistic regression analysis to find the association between Iris parameters and 8 constitutional Medicine. Results: Automic Nerve Wreath Ration (ANWR) was larger and toxic radii was longer in Earth and Wood constitutions than Metal and water constitution. ANWR was larger and pupil are ratio(PAR) was smaller in Wood constitutions than Earth constitutions. And others did not show significant results. Conclusions: This study suggests that the relationship between some of the iris parameters and 8 constitution was significant, but more accurate follow-up study is needed.

• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.167-177
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• 2024

Iris segmentation is an initial step for identifying the biometrics of animals when establishing a traceability system for livestock. In this study, we propose a deep learning framework for pixel-wise segmentation of bovine iris with a minimized use of annotation labels utilizing the BovineAAEyes80 public dataset. The proposed image segmentation framework encompasses data collection, data preparation, data augmentation selection, training of 15 deep neural network (DNN) models with varying encoder backbones and segmentation decoder DNNs, and evaluation of the models using multiple metrics and graphical segmentation results. This framework aims to provide comprehensive and in-depth information on each model's training and testing outcomes to optimize bovine iris segmentation performance. In the experiment, U-Net with a VGG16 backbone was identified as the optimal combination of encoder and decoder models for the dataset, achieving an accuracy and dice coefficient score of 99.50% and 98.35%, respectively. Notably, the selected model accurately segmented even corrupted images without proper annotation data. This study contributes to the advancement of iris segmentation and the establishment of a reliable DNN training framework.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.2
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• pp.31-34
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• 2009

Purpose: We are to analyze optically how to affect the eye related with movement of the iris. Methods: Using the schematic eye to have the crystalline lens of the radial GRIN and the spherical GRIN forms that come to be planned in existing, the iris centre was moved 0.5 mm with nasal direction in order to be identical with the real eye. Also, considering that the iris centre move according to increase of the pupil size, the iris centre was moved 0.4 mm with temporal direction to analyze the optical performance change of the eye respectively. Results: Because of decrease in the spherical aberration, the schematic eye with nasal direction 0.5 mm eccentricity of the iris showed a different consequence plentifully compared with the performance of the real eye. Besides, the schematic eye with temporal direction 0.4 mm eccentricity of the iris showed that the spherical aberration somewhat increased. Conclusions: In case of design of the schematic eye with the similar real eye performance which the iris centre was moved 0.5 mm with nasal direction, we need to research about aspheric coefficient of optical constants of each refracting surface considering the performance change of a spherical aberration, a peripheral power error and astigmatism etc, owing to change of the real eye hence to be affected by the iris movement.

• Journal of KIISE:Software and Applications
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• v.30 no.9
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• pp.876-884
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• 2003

It is essential to identify both the pupil and iris boundaries for iris recognition. The circular edge detector proposed by Daugman is the most common and powerful method for the iris region extraction. The method is accurate but requires lots of computational time since it is based on the exhaustive search. Some heuristic methods have been proposed to reduce the computational time, but they are not as accurate as that of Daugman. In this paper, we propose a pupil and iris boundary finding algorithm which is faster than and as accurate as that of Daugman. The proposed algorithm searches the boundaries using the Daugman's circular edge detector, but reduces the search region using the problem domain knowledge. In order to find the pupil boundary, the search region is restricted in the maximum and minimum bounding circles in which the pupil resides. The bounding circles are obtained from the binarized pupil image. Two iris boundary points are obtained from the horizontal line passing through the center of the pupil region obtained above. These initial boundary points, together with the pupil point comprise two bounding circles. The iris boundary is searched in this bounding circles. Experiments show that the proposed algorithm is faster than that of Daugman and more accurate than the conventional heuristic methods.

• Journal of Korea Multimedia Society
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• v.14 no.9
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• pp.1125-1137
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• 2011

Recently, there have been previous research about the iris recognition in mobile device to increase portability, whose accuracy is affected by the quality of iris image. Iris image is affected by illumination environment during the image acquisition. The existing system has high accuracy in indoor environment. However the accuracy is degraded in outdoor environment, because the gray levels of iris patterns in image are changed, and ghost and eyelash shading regions are produced by the sunlight of various wavelengths into iris region. To overcome these problems, we propose new mobile iris camera system which uses the near-infrared (NIR) light illuminator of 850 nm and band pass filter (BPF) of 850 nm. To measure the performance of the proposed system, we compared it to the existing one with the iris images captured in indoor and outdoor sunlight environments in terms of the equal error rates (EER) based on false acceptance rate (FAR) and false rejection rate (FRR). The experimental result showed that the proposed system had the lower EERs than those of previous system by 0.96% (with frontal light in indoors), 4.94% (with frontal light in outdoor), 9.24% (with side light in outdoor), and 7% (with back light in outdoor), respectively.

• Journal of Acupuncture Research
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• v.22 no.6
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• pp.155-164
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• 2005

Objectives : The purpose of this study is to compare interrelations between primary headache (including migraine) and Iris Constitution through iris constitution examination. Methods : The subjects were 50 patients who admitted to Chonju Oriental Medicine Hospital attached to Wonkwang Univ. from February.1st.2004 to March.31th.2005. The subjects were constituted of primary headache(including migraine) patients who were examined by Iris Constitution analysis. Results & Conclusion : Among 50 cases of primary headache(including migraine) the distribution of Iris Constitution were as follows. 1. There were 14 cases of neurogenic type, 9 cases of abdominal connective tissue weakness type, 8 cases of cardio-renal connective tissue weakness type, 6 cases of neurogenic + abdominal connective tissue weakness type, 5 cases of neurogenic type+ cardio-renal connective tissue weakness type, 5 cases of abdominal connective tissue weakness type + cardio-renal connective tissue weakness type, 2 cases of hydrogenic type, 1 case of abdominal connective tissue weakness type + mesenchymal pathological connective tissue weakness constitution. 2. There were 25 cases of which included neurogenic constitution, 21 cases of which included abdominal connective tissue weakness constitution, 18 cases of which included cardio-renal connective tissue. Migraine have a meaningful interrelation with Iris constitution, especially with neurogenic type, abdominal connective tissue weakness type and cardio-renal connective tissue weakness type. 3. Interrelation between Region of migraine and Iris constitution is non-specific with the exception of interrelation between pain in all over head with neurogenic type. These results suggest that the further study in connection with these results should be followed. 4. The interrelation between the period of migraine and Iris constitution is not remarkable.

• Information Systems Review
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• v.7 no.2
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• pp.1-21
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• 2005

Integrated Railroad Information System(IRIS) Construction Project is one of the super projects in Korea required to invest over 100 billion won and 10,000 engaged manpower until Dec 30, 2004. Composition of this paper is as follows; firstly, examined individual contents and aspects of IRIS, and studied formality and contents that have been based to project methodology for successful propulsion of project in overall situation of SI project progress until present. Secondly, presented for construction background of IRIS as well as Project Management and Project Development Methodologies. Thirdly, described each characteristic and development substance for individual systems after present whole contents and system image of the system. Finally, presented successful propulsion result of this project and development directions. We presented development example laying stress on IRIS's Project contents and propulsion circumstances. Evaluation about operation results should be analyzed and studied in detail operating system from now on.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.1
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• pp.61-64
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• 2011

Purpose: The purpose of this study was to design the finite model eye with GRIN lens similar to actual eye, which considered the effect of iris eccentricity on eyes. Methods: By using the finite model eye with Radial GRIN and Spherical GRIN, which were designed previously, the location of iris was eccentrically located by 0.5 mm in the direction of nose to show the same eye as actual one. For ray trace and design, Code V program of Optical Research Associates (ORA) was adopted. Results: Designed model eye was compared to actual eye depending on iris eccentricity and the model eye which showed reduced value was corrected according to actual eye to design the finite model eye. Conclusions: Ocular optical systems considered the point that iris was a rotational asymmetry and designed the finite model eye with GRIN lens, which was similar to actual eye, by considering the effect of iris eccentricity on eye.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.705-708
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• 2018

Among biometrics commercialized for security, iris recognition technology has the most excellent security for the probability of the match between individuals is the lowest. Current commercialized iris recognition technology has excellent recognition ability, but this technology has a fatal drawback. Without the user's active cooperation, it cannot recognize the iris correctly. To make up for this weakness, recent trend of iris recognition development mounts a non-volunteering, unconstrained method. According to this information, the objective of this research is developing a module that can identify people iris from a video acquired by high performance infrared camera in a range of 3m and in a involuntary way. For this, we import images from the video and find people's face and eye positions from the images using Haar classifier trained through Cascade training method. finally, we crop the iris by Hough circle transform and compare it with data from the database to identify people.