• Journal of Information Processing Systems
• /
• v.8 no.3
• /
• pp.445-458
• /
• 2012

Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to form an iris signature and to represent the iris. This paper contributes towards creating an improved iris recognition system. There is a reduction in the feature vector size, which is 1X4 in size. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also reduced and the accuracy increased. The proposed method also avoids the iris normalization process that is traditionally used in iris recognition systems. Experimental results indicate that the proposed method achieves an accuracy of 99.82%, 0.1309% FAR, and 0.0434% FRR.

• Proceedings of the IEEK Conference
• /
• 2002.06d
• /
• pp.53-56
• /
• 2002

In this paper, we propose the method of iris lacuna extraction using watershed transform. Lacuna is salient feature of iris. It has three dimensional structure formed by leak of pigmentation and loss of fiber tissues. Lacuna can be used for iris recognition system, and generally used in health diagnosis and character analysis with its shape and position. The main idea of the proposed method is applying the watershed transform to radial gray scale profile of iris image. The result shows that the lacuna can be extracted automatically from eye image.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.17 no.6
• /
• pp.1538-1542
• /
• 2003

This Study was carried out for proof of confidence of Iris Diagnosis. We analyzed relation between Iris Signs and Chief Complain, and then analyzed relation between Iris Signs and Past History. The rate of relation between Iris Signs and Chief Complain was 72.1 %. The rate of relation between Iris Signs and Past History was 52.9%. synthetically, We had known that this diagnosis method have probability of 79.7%. It was confirmed that there are close correlations between Iris Signs and Chief Complain and between Iris Signs and Past History.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2003.10a
• /
• pp.932-934
• /
• 2003

In this paper, time, studied about method that can analyze iris change to using differential image of iris image that put interval and films and utilize as patient's health examination according to iris change. Time, Differential mage of iris image that put interval and films ran be used usefully to search early diagnosis of disease and unfolding process etc.. of disease by showing definitely change by tine. In the case of iris diagnostic system, iris outside area extracts iris area and uses Differential image of before filming image and image that film present to use canny edge detector as there is cay to extract iris area as do not help in diagnostic and change analyzed comparison.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.3
• /
• pp.371-377
• /
• 2020

Currently used iris cameras are expensive and have many limitations in their use. Existing iris cameras are inconvenient in interworking with newly developed software, and light reflections generated during iris photography are inadequate for medical use. Therefore, it is impossible to utilize the existing camera to take an image by yourself. In this paper, the iris camera is newly constructed so that the iris can be photographed by ourselves and the area of interest can be seen well. Anyone can easily wear glasses-type iris cameras to acquire images using IoT devices, and the acquired images are linked to the iris analysis program and used to read genetic weak parts. The proposed iris camera module automatically provides light reflection, shake, and accurate focus when capturing images, increasing the accuracy of image analysis to 91.49%. In addition, we have proved through experiments that one image processing time is fast as 0.007ms due to accurate image input.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.1
• /
• pp.107-114
• /
• 2017

Iris diagnosis is an alternative medicine to diagnose the disease of the patient by using different of the iris pattern, color and other characteristics. This paper proposed a disease prediction algorithm that using the iris regions that analyze iris change to using differential image of iris image. this method utilize as patient's health examination according to iris change. Because most of previous studies only find a sign pattern in a iris image, it's not enough to be used for a iris diagnosis system. We're developed an iris diagnosis system based on a iris images processing approach, It's presents the extraction algorithms of 8 major iris signs and correction manually for improving the accuracy of analysis. As a result, PNSR of applied edge detection image is about 132, and pattern matching area recognition presented practical use possibility by automatic diagnostic that presume situation of human body by iris about 91%.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.313-318
• /
• 2019

The purpose of this study is to investigate whether there is a difference in the incidence of the black circle border of iris(skin disease) according to the iris constitution. Iris was taken for 100 adults living in Seoul. Iris was photographed using the iris camera DV-2H, a blue focus development product. Statistical significance was tested by correlation analysis, and the occurrence of black circle border of iris was low negative correlation(p<0.01). As mentioned above, we know that the occurrence of black circle border of iris differs according to the iris constitution, and by using it actively, it will help health promotion about skin. There is a need to study the changes of iris in the cause of skin disease by using a blood test to analyze the cause of the skin disease in the future.

• The Plant Pathology Journal
• /
• v.16 no.1
• /
• pp.36-42
• /
• 2000

The coat protein gene of iris severe mosaic potyvirus, which was isolated in Korea, ISMV-K, from iris plant was cloned and its nucleotide sequence was determined. The coat protein of the virus contained 252 amino acid residues, including five potential N-glyxosylation site motifs. The coat protein of ISMV-K has 99.1% and 98.4% sequence identities with those of the Netherlands isolate of ISMV (ISMV-Ne) form crocus for the nucleotide and amino acids, respectively. The coat protein of ISMV-K has 50.4% to 60.3% nucleotide sequence identities and 47.3% to 55.7% amino acid identities with those of other 21 potyviruses, indicating ISMV to be a distinct species of the genus. The coat protein of ISMV-K was closely related with bean yellow mosaic virus and clover yellow vein virus in the phylogenetic tree analysis among the potyviruses analyzed. ISMV was easily and reliably detected from virus-infected iris leaves by RT-PCR with a set of the virus-specific primers.

• The Journal of the Society of Korean Medicine Diagnostics
• /
• v.17 no.1
• /
• pp.1-16
• /
• 2013

Objectives Iridology is a field of study that diagnoses various systemic diseases through analysis of colors, structural characteristics and changes in iris. The purpose of this study was to review previously published study results of the iridology. Methods The studies were searched with the keyword "iridology" through search engines such as SCOPUS, Pub med, RISS, and NDSL. Total of 36 iridology-related studies published from 1980 to 2012 were analyzed. Results Most diagnoses of systemic disease through iris markings were insignificant. The studies on relevance of gene polymorphism and iris constitution were highly significant. The studies on relevance of Sasang constitution and iris constitution varied in results depending on diagnosis methods. The studies on relevance of iris constitution and diseases had significant results. The structural characteristics of iris were related to certain personality. Conclusions The studies on utility of iris diagnosis and diagnostic markings were negative, but the relevance of constitution, heredity, and iris diagnosis was positive. A persistent in-depth study on relevance of iris and constitution is needed in the future.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.863-864
• /
• 2008

To predict the iris matching performance and guarantee its reliability, image quality measure prior to matching is desired. An analysis on iris image degradation factors which deteriorate matching performance is a basic step for iris image quality measure. We considered five degradation factors-white-out, black-out, noise, blur, and occlusion by specular reflection-which happen generally during the iris image acquisition process. Experimental results show that noise and white-out degraded the EER most significantly, while others on EER were either insignificant or degradation images resulted in even better performance in some cases of blur. This means that degradation factors that affect the performance can be different from those based on human perception or image degradation evaluation.