• Journal of Environmental Science International
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• v.19 no.11
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• pp.1337-1353
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• 2010

This study intended to investigate environmental factors including soil and vegetation in order to understand the environmental and ecological characteristics of 12 different habitats of Iris odaesanensis. These habitats, according to investigations, are mostly located at elevation of 280 m to 1,555 m with angles of inclination ranging from 2 degree to 30 degrees. A total of 273 vascular plants are identified in 23 quadrates of 12 habitats. Dominant species of woody plants in 12 habitats are represented as Quercus mongolica in the tree layer (T1) and the subtree (T2) layer, and Lespedeza maximowiczii, Lindera obtusiloba, Rhododendron schlippenbachii in the shrub (S) layer. The importance value of Iris odaesanensis is 9.65%, as regards the herbaceous layer, and 6 highly ranked species such as Carex siderosticta (3.92%), Meehania urticifolia (2.67%), Spodiopogon cotulifer (2.58%), Aconitum pseudolaeve (2.51%), Carex bostrychostigma (2.28%) and Disporum smilacinum (2.09%) are considered to be an affinity with Iris odaesanensis in their habitats. The degree of their average species diversity is 1.32, and that of dominance and evenness are 0.08 and 0.89, respectively. The type of soil is sandy loam and loam, and the average field capacity of soil is 28.31%. Their average organic matter is 16.71%, soil pH 5.29, and available phosphorus is 9.29%. Correlation coefficients analysis based on environmental factors, vegetation and soil analysis shows that the coverage of Iris odaesanensis is correlated with pH and dominance, and species richness is positive related with species diversity.

• Journal of KIISE:Software and Applications
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• v.28 no.11
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• pp.864-873
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• 2001

In this paper, a new approach to building a registration authority for issuing PKI-based certificates is presented to make the process of identifying an individual more secure and reliable by utilizing human iris recognition technology. The tasks of the proposed system associated with the manipulation of irises except for the general functions of registration authorities can be categorized into three modules, the acquisition of iris images, the registration of iris information, and the verification of users by means of iris patterns. The information among the three modules is safely exchanged through encryption and decryption with a symmetric cryptographic method. As a feature extraction method for a given iris image, a wavelet transform is applied to represent a feature vector with a small dimension of information obtained by subsampling an image corresponding to lower frequency bands successively without loss of information. Through the experiments on human iris recognition technology we proposed and applied to the registration authority, the potential of biometric technology in various applications is confirmed.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.3
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• pp.348-354
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• 2003

This proposes a new algorithm for advanced personal identification system using iris pattern and speech signal. Since the proposed algorithm adopts a fusion scheme to take advantage of iris recognition and speaker identification, it shows robustness for noisy environments. For evaluating the performance of the proposed scheme, we compare it with the iris pattern recognition and speaker identification respectively. In the experiments, the proposed method showed more 56.7% improvements than the iris recognition method and more 10% improvements than the speaker identification method for high quality security level. Also, in noisy environments, the proposed method showed more 30% improvements than the iris recognition method and more 60% improvements than the speaker identification method for high quality security level.

• Journal of Fashion Business
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• v.24 no.3
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• pp.101-113
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• 2020

This study considers aesthetic characteristics by examining the fashion style of the silver fashion icon Iris Apfel. The research methods were a quantitative and qualitative analysis of Iris Apfel's images that were collected from 2015 to 2019 on various web-sites according to four criterions following advanced research analysis of fashion style. The results of the study are as follows. The analysis results on the fashion style of Iris Apfel, an icon of silver style, showed that cocoon, barrel and A-line silhouettes appeared most in terms of silhouettes. Second, in terms of colors, achromatic colors dominated among solid colors while one particular vivid color appeared most it came to mixed color. In terms of multi colors, these appeared according to the patterns applied to her clothing, in particular, colorful colors were used to emphasize splendor. Third, flower, bird and geometric patterns appeared most in terms of material patterns. Lastly, it was found that white short cut hair, large necklaces or bangle bracelets, over-sized black glasses and fur mufflers or canes were used in terms of hair and accessories. The features derived through analysis of the fashion style of Iris Apfel, an icon of silver style, are as follows. The first feature is exaggeration through splendid primary colors and over-sized silhouettes. The second feature is the hybrid of modern composition methods using natural images and exotic preferences. The third feature is her representation of identity using fixed items.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.24-24
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• 2019

Iris L. is a perennial genus comprising approximately 300 species worldwide, with the greatest number of endemic species occurring in Asia. Iris is one of the largest genera in the family Iridaceae and includes ca. 15 species native to Korea. Although chromosome number change, karyotype restructuring, and genome size variation play an important role in plant genome diversification, understanding the karyotype variation in Korean Iris species has been hampered by the wide range of base chromosome number (x = 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22) reported to date. This study documents the chromosome numbers, karyotype structure and genome size variation in Iris ruthenica K. Gawl., an endangered species in Korea obtained using classic Feulgen staining and flow cytometry. The chromosome number of all investigated plants from the nine populations was 2n = 42. All individuals studied possessed metacentric and submetacentric chromosomes. The genome size of the I. ruthenica in eight wild populations ranged from 2.39 pg/1C to 2.45 pg/1C ($2.42{\pm}0.02pg/1C$: $mean{\pm}SD$). This study provides the first report of genome size variation in Iris ruthenica in Korea. This study lays foundation for cytogenetic further analyses employing by fluorescence in situ hybridization (FISH) to better understand the chromosomal evolution in this species and in the whole genus.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Journal of Korean Ophthalmic Optics Society
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• v.19 no.3
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• pp.285-293
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• 2014

Purpose: In order to find suitable size of soft contact lens for different ages group of elementary student to adults, visible iris diameter(horizontal, vertical) and palpebral aperture size were measured. Methods: Visible iris diameter (horizontal, vertical) and palpebral aperture size were measured in different age groups of total 514 subjects (1028 eyes) who have no eye disease and none history of surgery included cosmetic purpose. Results: No significant difference was found in iris diameter of both horizontal and vertical direction for different groups of age and sex but horizontal direction of palpebral aperture size in middle school students and university students groups and vertical direction of palpebral aperture size in high school student group shows significant difference (p<0.05) by sex. Horizontal visible iris diameter, vertical visible iris diameter, horizontal palpebral aperture size and vertical palpebral aperture size shows significant difference in difference age and sex. Conclusions: Visible iris diameter and palpebral aperture size are affective factor for soft contact lens diameter decision, especially it should considered more intensive for removing uncomfortable feeling of lens wearer.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.94-104
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• 2007

Iris recognition is biometric technology which uses a unique iris pattern of user in order to identify person. In the captured iris image by conventional iris recognition camera, it is often the case with eyelid occlusion, which covers iris information. The eyelids are unnecessary information that causes bad recognition performance, so this paper proposes robust algorithm in order to detect eyelid. This research has following three advantages compared to previous works. First, we remove the detected eyelash and specular reflection by linear interpolation method because they act as noise factors when locating eyelid. Second, we detect the candidate points of eyelid by using mask in limited eyelid searching area, which is determined by searching the cross position of eyelid and the outer boundary of iris. And our proposed algorithm detects eyelid by using parabolic hough transform based on the detected candidate points. Third, there have been many researches to detect eyelid, but they did not consider the rotation of eyelid in an iris image. Whereas, we consider the rotation factor in parabolic hough transform to overcome such problem. We tested our algorithm with CASIA Database. As the experimental results, the detection accuracy were 90.82% and 96.47% in case of detecting upper and lower eyelid, respectively.

• Journal of Environmental Science International
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• v.15 no.12
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• pp.1103-1107
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• 2006

Iris odesanensis Y.N. Lee is one kind of species among 54 endangered plant species designated by the Ministry of Environment in Korea. It is very rare native plant throughout the country. Therefore, this study was conducted to investigate the native Iris odesanensis in Mt. Naeyon for their distribution and ecological characteristics. They were mostly distributed mid-slope of the mountain from 443m to 498m altitude. They were located lower part of valley and provided enough humid condition. They had proper light and humidity conditions as they faced south south west, south south east, and south. They were also located at the places deciduous woody plants were distributed for proper light conditions for spring blooming. Iris flowered to use light at the period before the trees thickly covered with foliage. However this unfavorable light condition caused low percentage as 7.04% of blooming individuals in this study. In herbaceous, Vioia chaerophylloides(Regel) W. Hocker, Carex siderosticta Hance, Erythronium japonicum Decne., Oxalis obtriangulata Max., Hepatica asiatica Nakai, Lilium tsingtauense Gilg et cetera were appeared well. We propose that proper pruning of upper branches of the deciduous trees is needed for suitable light condition of management of native sites.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.459-464
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• 2003

This paper proposes the use of a wavelet based image transform algorithm in human iris recognition method and the effectiveness of this technique will be determined in preprocessing of extracting Iris image from the user´s eye obtained by imaging device such as CCD Camera or due to torsional rotation of the eye, and it also resolves the problem caused by invariant under translations and dilations due to tilt of the head. This technique values through the proposed translation-invariant wavelet transform algorithm rather than the conventional wavelet transform method. Therefore we extracted the best-matching iris feature values and compared the stored feature codes with the incoming data to identify the user. As result of our experimentation, this technique demonstrate the significant advantage over verification when it compares with other general types of wavelet algorithm in the measure of FAR & FRR.