• Title/Summary/Keyword: classification of Korean characters

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Hangul Recognition Using a Hierarchical Neural Network (계층구조 신경망을 이용한 한글 인식)

  • 최동혁;류성원;강현철;박규태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.11
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    • pp.852-858
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    • 1991
  • An adaptive hierarchical classifier(AHCL) for Korean character recognition using a neural net is designed. This classifier has two neural nets: USACL (Unsupervised Adaptive Classifier) and SACL (Supervised Adaptive Classifier). USACL has the input layer and the output layer. The input layer and the output layer are fully connected. The nodes in the output layer are generated by the unsupervised and nearest neighbor learning rule during learning. SACL has the input layer, the hidden layer and the output layer. The input layer and the hidden layer arefully connected, and the hidden layer and the output layer are partially connected. The nodes in the SACL are generated by the supervised and nearest neighbor learning rule during learning. USACL has pre-attentive effect, which perform partial search instead of full search during SACL classification to enhance processing speed. The input of USACL and SACL is a directional edge feature with a directional receptive field. In order to test the performance of the AHCL, various multi-font printed Hangul characters are used in learning and testing, and its processing its speed and and classification rate are compared with the conventional LVQ(Learning Vector Quantizer) which has the nearest neighbor learning rule.

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Confirmation of Two Undescribed Fungal Species from Dokdo of Korea Based on Current Classification System Using Multi Loci

  • Lee, Hye Won;Nguyen, Thi Thuong Thuong;Yeon, Hye;Lee, Haengsub;Kim, Changmu;Lee, Hyang Burm
    • Mycobiology
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    • v.43 no.4
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    • pp.392-401
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    • 2015
  • Using dilution plating method, 47 fungal isolates were obtained from a soil sample collected from Dokdo in the East Sea of Korea in 2013. In this study, two fungal isolates, EML-MFS30-1 and EML-DDSF4, were confirmed as undescribed species, Metarhizium guizhouense and Mortierella oligospora in Korea based on current classification system using multi loci including rDNA internal transcribed spacer, large subunit, small subunit, and ${\beta}$-tubulin (BTUB) genes. Herein, detailed morphological descriptions on characters of the undescribed fungal species as well as their molecular phylogenetic status are provided with comparisons to related species.

Study on Implementation of a Handwritten-Character Recognition System in a PDA Using a Neural Hardware (신경망 하드웨어를 이용한 PDA 펜입력 인식시스템의 구현 연구)

  • Kim, Kwang-Hyun;Kang, Deung-Gu;Lee, Tae-Won;Park, Jin;Kim, Young-Chul
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.492-495
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    • 1999
  • In this paper, a research is focused on implementation of the handwritten Korean-character recognition system using a neural coprocessor for PDA application. The proposed coprocessor is composed of a digital neural network called DMNN and a RISC-based dedicated controller in order to achieve high speed as well as compactness. Two neural networks are used for recognition, one for stroke classification out of extended 11 strokes and the other for grapheme classification. Our experimental result shows that the successful recognition rate of 92.1% over 3,000 characters written by 10 persons can be obtained. Moreover, it can be improved to 95.3% when four candidates are considered. The design verification of tile proposed neural coprocessor is conducted using the ASIC emulator for further hardware implementation.

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A Comprehensive Approach for Tamil Handwritten Character Recognition with Feature Selection and Ensemble Learning

  • Manoj K;Iyapparaja M
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.6
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    • pp.1540-1561
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    • 2024
  • This research proposes a novel approach for Tamil Handwritten Character Recognition (THCR) that combines feature selection and ensemble learning techniques. The Tamil script is complex and highly variable, requiring a robust and accurate recognition system. Feature selection is used to reduce dimensionality while preserving discriminative features, improving classification performance and reducing computational complexity. Several feature selection methods are compared, and individual classifiers (support vector machines, neural networks, and decision trees) are evaluated through extensive experiments. Ensemble learning techniques such as bagging, and boosting are employed to leverage the strengths of multiple classifiers and enhance recognition accuracy. The proposed approach is evaluated on the HP Labs Dataset, achieving an impressive 95.56% accuracy using an ensemble learning framework based on support vector machines. The dataset consists of 82,928 samples with 247 distinct classes, contributed by 500 participants from Tamil Nadu. It includes 40,000 characters with 500 user variations. The results surpass or rival existing methods, demonstrating the effectiveness of the approach. The research also offers insights for developing advanced recognition systems for other complex scripts. Future investigations could explore the integration of deep learning techniques and the extension of the proposed approach to other Indic scripts and languages, advancing the field of handwritten character recognition.

An Study on Plant Classification System as Described in the Science Textbook of Elementary and Secondary School (초.중등학교 과학교과서(생물영역)의 식물 분류 체계에 관한 연구)

  • Yeau, Sung-Hee
    • Journal of The Korean Association For Science Education
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    • v.18 no.4
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    • pp.635-641
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    • 1998
  • The purpose of this study was to suggest a new direction of learning method in botany based on the analysis of a classification system and concepts in Science(Biology) textbooks of elementary and secondary school. Elementary and secondary school textbooks of Biology have been analyzed for plant classification system and concepts. Findings are summarized as belows. 1. In textbook of elementary school, the organization of life is grouped into Plantae and Animalia. Learning contents of plant are divided by the size and habitat. However, this system of classification might cause false concepts. Therefore, learning contents should be organized as whether they are flowering plants or not. 2. In a textbook of middle school, the organization of life is grouped into Plantae and Animalia. For a textbook of high school, it is grouped into three kingdoms; Plantae, Animalia and Prorista. With the idea of new age of Life Science, we should change the standards to 5 kingdoms; Plantae, Animalia, Proristae, Fungi and Monera. Moreover, it would be desirable if the concept of plant classification could be explained with a general outline, not by an individual interpretation focusing on characters of species only. In addition to the above indications, a learning course should provide present a standard classification according to a cognitive developemental level. It also has to teach students how to classify plant, in secondary school. Learning materials focusing on algae of the present system, but should be organized based on Seed plants.

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A taxonomic study on the spikelet morphology of Korean Poa L. (Poaceae) (한국산 포아풀속(Poa L.)의 소수 형태에 의한 분류학적 연구)

  • Jung, Su Young;Chung, Gyu Young
    • Korean Journal of Plant Taxonomy
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    • v.38 no.4
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    • pp.477-502
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    • 2008
  • Morphological characters of inflorescence, spikelet, rachilla, glume, lemma and palea about 17 taxa of Korean Poa L. were investigated to evaluate their taxonomic significances. The bulbil present or not, inflorescence shape, callus shape of lemma and surface shape of palea were thought to be the subgenus characters. The keels shapes of palea, the number of lower glume, lateral nerve shape of lemma were thought to be the section characters. The number of floret, rachilla present or not, the number of lower glume, nerve shape of glume, surface shape of lemma were thought to be the species characters. Consequently, 17 taxa of the Korean Poa L. is classified into 3 subgenus (Ochlopoa, Stenopoa, Stenopoa), 7 section(Arenariae, Ochlopoa, Homalopoa, Poa, Pandemos, Tichopoa, Stenopoa). 6 taxa, P. ullungdoensis, P. takeshimana and P. matsumurae, P. nipponica, P. radula, P. viridula, not included in the existing classification system, were suggested to their taxonomic category in infragenic rank, and P. nemoralis, had been included in section Stenopoa of subgenus Stenopoa, was proposed to move to section Poa of subgenus Poa. P. ullungdoensis, reported as new species in 1955, was grasped its taxonomic identity.

Studies on Classification and Genetic Nature of Korean Local Corn Lines (한국(韓國) 재래종(在來種) 옥수수의 계통분류(系統分類) 및 유전적(遺傳的) 특성(特性)에 관(關)한 연구(硏究))

  • Lee, In Sup;Choi, Bong Ho
    • Korean Journal of Agricultural Science
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    • v.9 no.1
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    • pp.396-450
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    • 1982
  • To obtain basic information on the Korean local corn lines a total of 57 lines were selected from 1,000 Korean local collection at Chungnam National University, classified by principal component analysis, and genetic nature was investigated. The results are summarized as follows. 1. There were a great variation in mean values of plant characters of the lines. The mean values of plant characters except for density of kernels varied with types of crossing. All characters except. for tasselling dates were reduced in magnitude when selfed, while those characters were increased when topcrossed. 2. The correlation coefficients among characters studied ranged front 0.99 to -0.59. The correlation coefficients among characters were not greatly changed depending upon types of crosses. 3. In order to classify the lines more effectively, selected 12 plant characters were used to classify 57 local lines by principal component analysis. The first four component could explain 86.4%, 83.4% and 81.1% of the total variations in sibbed lines, selfed lines and topcrossed lines, respectively. 4. Contribution of characters to principal component was high at upper principal components and low at lower principal components. 5. Biological meaning of the principal component and plant types corresponding to the each principal component were explained clearly by the correlation coefficient between principal components and characters. The first principal component appeared to correspond to the size of plant and ear. The second principal component appeared to correspond to the degree of differentiation in organs and the duration of vegetative growing period. But biological meaning of the third and fourth principal components was not clear. 6. The lines were classified into 4 lineal groups by the taxonomic distance. Group I included 52 lines which was 91.2% of total lines, group II 3 lines, group III 1 lines and group IV I lines, respectively. Four groups could be characterized as follows : Group I : early maturity, short-culmed, medium height plant, small ears, medium kernels and medium yielding. Group II : late maturity, medium height plant, small ears, small kernels, prolific ears and higher yielding. Group III : medium maturity, tall-culmed, small ears, small kernels and low yielding. Group IV : medium maturity, tall-calmed, large ears, one ear plant and me yielding. 7. The inbreeding depression varied with plant characters and lines. The characters such as yield, kernel weight per ear, ear weight and plant height showed great degree of inbreeding depression. Group I showed high inbreeding depression in such characters as 100 kernel weight, leaf number, plant height and days to tasselling, while group II showed high inbreeding depression in other plant characters. 8. Heterosis of plant characters varied also with lines. The ear weight, kernel weight per ear, yield, 100 kernel weight, and plant height were some of the plant characters showing high heterosis. Group II showed high values of heterosis in such characters as ear length, ear diameter, ear weight, kernel weight per ear, 100 kernel weight, and leaf length, while group I was high in heterosis in other plant characters. 9. The degree of homozgosity was highest in ear weight (79.1%) and lowest in ear number per plant (-21%). Group II showed higher degree of homozygosity than group I. 10. Correlation coefficients between characters of ribbed and topcrossed lines were positive for all characters. Highly significant. correlation coefficients between ribbed and topcrossed lines were obtained especially for characters such as ear number per plant, plant height, leaf length and yield per plot.

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Korean Character Recognition by the Extraction of Feature Points and Neural Chip Design for its Preprocessing (특징점 추출에 의한 한글 문자 인식 및 전처리용 신경 칩의 설계)

  • 김종렬;정호선;이우일
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.6
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    • pp.929-936
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    • 1990
  • This paper describes the method of the Korean character recognition by means of feature points extraction. Also, the preprocessing neural chip for noise elimination, smoothing, thinning and feature point extraction has been designs. The subpatterns were separated by means of advanced index algorithm using mask, and recognized by means of feature points classification. The separation of the Korean character subpatterns was abtained about 97%, and the recognition of the Korean characters was abtained about 95%. The preprocessing neural chip was simulated on SPICE and layouted by double CMOS 2\ulcorner design rule.

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Related Documents Classification System by Similarity between Documents (문서 유사도를 통한 관련 문서 분류 시스템 연구)

  • Jeong, Jisoo;Jee, Minkyu;Go, Myunghyun;Kim, Hakdong;Lim, Heonyeong;Lee, Yurim;Kim, Wonil
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.77-86
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    • 2019
  • This paper proposes using machine-learning technology to analyze and classify historical collected documents based on them. Data is collected based on keywords associated with a specific domain and the non-conceptuals such as special characters are removed. Then, tag each word of the document collected using a Korean-language morpheme analyzer with its nouns, verbs, and sentences. Embedded documents using Doc2Vec model that converts documents into vectors. Measure the similarity between documents through the embedded model and learn the document classifier using the machine running algorithm. The highest performance support vector machine measured 0.83 of F1-score as a result of comparing the classification model learned.

Monographic Study of the Endemic Plants in Korea V. Taxonomy and interspecific relationships of the genus Filipendula (한국 고유식물의 종속지 V. 터리폴속 식물의 분류와 종간유연관계)

  • 김기중
    • Journal of Plant Biology
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    • v.29 no.1
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    • pp.19-40
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    • 1986
  • A study on the species description, enumeration and interspecific relationships of genus Filipendula was undertaken for four Korean and two Japanese species. The use of scanning electron miroscope(SEM) has made possible a detailed study of foliar trichomes, pollen grains and fruit surface features. A new method for the preparation of SEM samples was developed in this study. Filipendula glaberrima, F. formosa, and F. korean were reliable endemic species. Among them, F. glaberrima shares many characteristics with F. formosa. F. gloaberrima can be divided into tow types based on leaf, seed, flower and pollen characters. Type I is characterized by ciliated fruits, many branched vascular bundles on the petal, dense trichomes on the leaf vein of abaxial surface, and many foveolate pollen surface. Type II possesses glabrous fruits, a few vascular bundles on the petal, rare trichomes on the leaf vein and a few foveolate pollen surface. The significant taxonomic characteristics in the classification of genus Filipendula are their lengths of fruit stalks, the densities of marginal trichomes of fruits, and textures of stipules.

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