• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.455-458
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• 2001

In this paper, a new license plate recognition method using the morphological size distribution functions and color images is proposed. The proposed method consists of two steps. The first step is license plate extraction process using the plate color and step edge information in the license plate. The second step is the extraction of character feature vectors using the morphological size distribution functions and character recognition process using the MLP(multilayer perceptron). By the use of morphological size distributions functions, the error that may occur during the character region extraction process is lessened and the recognition performances are improved by the decrease of feature vector dimension.

• Animal Systematics, Evolution and Diversity
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• v.15 no.1
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• pp.11-25
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• 1999

Two problematic subgenera of Tomoceridae (Collembola, Insecta) were investigated for their phylogenetic relationships based on morphological characters and allozyme study from three relevant species. Different dendrograms were obtained obtained between morphological and allozyme studies. The morphological data did not give rise to any result distinctive enough to separate the two subgenera whereas the allozyme analysis produced a clear separation by the high genetic distance value. They were consistent, however, whether given rise to by using distance or cladistic methods and also whether character weighting or unweighting approaches employed in the morphological character analysis. As a consequence, it is strongly suggested that any prominent morphological trait might work as a good taxonomical character when supported by a strong genetic divergence as evidenced by allozyme analysis for instance.

• Journal of Korea Entertainment Industry Association
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• v.5 no.1
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• pp.127-133
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• 2011

Characters in natural image are an important information with various context. Previous work of character region detection algorithms is not detect of character region in case of image complexity and the surrounding lighting, similar background to character, so this paper propose an method of character region detection in natural image using edge and connected component by morphological reconstructions. Firstly, we detect edge using Canny-edge detector and connected component with local min/max value by morphological reconstructed-operation in gray-scale image, and labeling each of detected connected component elements. lastly, detected candidate of text regions was merged for generation for one candidate text region, Final text region detected by checking the similarity and adjacency of neighbor of text candidate individual character. As the results of experiments, proposed algorithm improved the correctness of character regions detection using edge and connected components.

• Journal of Korea Multimedia Society
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• v.2 no.4
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• pp.390-399
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• 1999

Extracting the character region(container identifier) in the image of a shipping container is one of the key factors in a system for identifying a shipping container automatically To improve the performance of the automatic recognition system for identifying a shipping container, thus a method partitioning the character region more correctly and efficiently is needed. In this paper, an efficient method is proposed to extract only the character region in the image of a shipping container. The proposed method removes noises that are not possibly related to the character using morphological operation, then the image is binarized using the threshold value that is determined from the image obtained previous step. Finally individual character area is extracted from the binary image. Also experiments are conducted to verify the efficiency of the proposed method. The results show that the proposed method partitions the character region correctly from container images.

• Journal of Korean Medical classics
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• v.32 no.1
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• pp.105-116
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• 2019

Objectives : There are many secluded Chinese characters - so called Byeokja (僻字) in ancient classic literature, and Chinese characters that are not registered in Unicode and Variant characters (heterogeneous characters) that cannot be found in the current font sets often appear. In order to register all possible Chinese characters including such characters as units of information exchange, this study attempts to propose a method to encode the morphological information of Chinese characters according to certain rules. Methods : This study suggests the methods to encode the connection between the nodules constituting the Chinese character and the coordinates of the nodules. In addition to that, rules for expressing information about curves, expressions of aspect ratios of characters, rules for minimizing coordinate lines, and rules for expressing aggregation status of character components are added. Results : Through the proposed method, it is possible to generate codes of a certain length by extracting only information expressing the morphological configuration of characters. Conclusions : The method of character encoding proposed in this study can be used to distinguish variant characters with small variations in Byeokja, new Chinese characters and character strokes and to store and search them.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.164-165
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• 2005

• Current Research on Agriculture and Life Sciences
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• v.26
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• pp.17-22
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• 2008

This research put most emphasis on setting the guidelines for improvement through character analysis of landscape ecology to cope with ecological malfunction of the woodland surrounded in cultivated areas. The results are as follows. 1) As a result of character analysis of the woodland in cultivated area in point of landscape ecology in five case sites, the size of case site 3 is the largest as $3,000m^2$ and it is shown that a colony of pine trees which is valuable in terms of ecological, scientific, historic and cultural senses. 2) As a result of analysis on expansibility of woodland in cultivated area, case site 1 is 0.25, the lowest, flexibility is 4, the highest. In order to improve ecological function in woodland, it is regarded that maintaining curve form rather than straight one. 3) As a result of analysis of morphological diversity, case site 5 shows 1.3, the highest. However, the condition of vegetation and emergence frequency of species indicates low value degree. 4) Based on the result of analysis of landscape ecological character like above, the number of guidelines for the woodland in cultivated area is three and vegetation is four.

• Journal of Korean Society of Forest Science
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• v.95 no.1
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• pp.55-59
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• 2006

The objectives of this study, an analysis of the morphological characteristics among six provenances of a rare Rhododendron micranthum could be used for the conservation of gene resources and could provide information on superior trees selection. The following results were obtained. Approximately Mt.worak region showed larger values at petal character. On the other hand, Bonghwa region showed smaller values at petal character. Yeonha-ri region showed larger values at leaf character. On the other hand, Bonghwa region showed smaller values at leaf character. The results of principal component analysis (PCA) for morphological characteristics showed that the first for principal components(PC's) explained 41.6% of the total variation. From th third PC explained 81.5% of the total variation. The first PC was correlated with those characteristics that were mainly related to the Petal length (PL), Leaf length (LL) width (LW), Stigma length (SL). The second PC was correlated with the Petiole length (PTW), Anther length (AL). The third PC was correlated with the Flower pedicel length (FPL), Filament length (FL). Therefore, these characteristics was important to analysis of the variation for morphological characteristics among provenances of Rhododendron micranthum. Cluster analysis using single linkage method based on morphological characteristics showed that six provenances of Rhododendron micranthum could be clustered into three groups. Group I is Jicdong-ri, Group II is Mt.worak and Yeonha-ri, and Group III is Taeback, Bonghwa, and Samcheok. These results corresponded well with that of principal component analysis.

• Korean Journal of Plant Taxonomy
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• v.34 no.2
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• pp.153-166
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• 2004

Genus Taraxacum propagated through diploid sexual reproduction and polyploid agamospermy. The cluster analysis of Korean(2 species, 4 population), Japanese (2 species 4 taxa 6 population) and Taiwanese (1 species, 3 population) Taraxacum species using 15 measured capitulum morphological characters was conducted to study the speciation of diploid Taraxacum in East Asia. We measured 15 capitulum morphological characters including length of capitulum, length and shape of outer-involucre, corniculate appandage. Within one population, these characters were very various and were overlapped. The result of cluster analysis using morphological character showed that all species were clustered into four groups (Korean species & T. japonicum group, T. platycarpum subspecies group, T. platycarpum subsp. hodense group, T. formosanum group). Korean species, T. hallaisanense (diploid) and T. ohiwanum (diploid, triploid) were clustered into T. japonicum that was occurred in Kansai provinces of Japan. Therefore, we could infer that Korean species was closely related to Japanese T. japonicum of Japanese species.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.5
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• pp.82-92
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• 1997

In this paper, we propose post-rpocessing method that corrects a misrecognized character by generated a characater recognizer using morphological analyzer and spelling corrector. The proposed post-processing consists of sthree phases : First, our method pass through morhological analyzer which only outputted necessary information for spelling correcting, doesn't analyze a bundle of phrases, and detects the location of misrecognized character. Second, tagging the generated candidate character using the information of character substitution table and grapheme substitution/separating table. Then we retry analysis after the misrecognition character has been substituted. Finally we select table, we investigate misrecognized charcters in CORPUS. Reliability analysis used to frequency of randomly selected about 100,000 words in CORPUS. A korean character recognizer demonstrates 93% correction rate without a post-processing. The entire recognition rate of our system with a post-processing exceeds 97% correction rate.