• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.2
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• pp.121-125
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• 2015

In this paper, we propose a method that extracts features from character patterns using the fractal dimension of chaos theory. The input character pattern image is converted into time-series data. Then, using the modified Henon system suggested in this paper, it determines the last features of the character pattern image after calculating the box-counting dimension, natural measure, information bit, and information (fractal) dimension. Finally, character pattern recognition is performed by statistically finding each information bit that shows the minimum difference compared with a normalized character pattern database.

• Journal of Sasang Constitutional Medicine
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• v.27 no.4
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• pp.396-403
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• 2015

Objectives The purpose of this study was to analyze the characteristics of each Soyang constitutional Exterior and Interior disease's favorable-unfavorable pattern using the Temperament and Character Inventory(TCI) in a Korean adult clinical sample.Methods A total of 32 subjects(age 20-49) completed the Korean version of the TCI. A Sasang Constitutional Medicine specialist determined each subject's Sasang constitutional type based on the Questionnaire for Sasang Constitution Diagnosis(QSCC∥) and comprehensive constitutional assessment. The participants consisting of 15 favorable pattern, 17 unfavorable pattern.Results Among the four temperament dimensions, the favorable pattern showed significantly higher scores than the unfavorable pattern in Novelty Seeking(NS) and Reward Dependence(RD). Among the three character dimensions, the unfavorable pattern showed significantly higher score than the favorable pattern subjects in Self-Directedness(SD).Conclusions Differences in temperament and character were discovered across the Soyang Constitutional disease's Exterior and Interior disease's favorable-unfavorable pattern.

• Journal of the Korea Computer Industry Society
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• v.2 no.3
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• pp.285-296
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• 2001

This Paper develops the Hanguel character learning system for elementary school students and foreigners. Standard character pattern is selected and DB is consructed for model by feature extraction. For this, performance of pre-processing independent of environments, feature extraction and simility functions are defined. Finally, beauty evaluation is done by matching between input character pattern written by elementary school students or foreigners and standard character pattern. It is possible for this system to extend the specific character font learning from selecting the specific standard character pattern. Also the effectiveness of this parer is demonstrated by several experiments.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1985.10a
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• pp.109-112
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• 1985

This paper proposes a algorithm of phonemes extraction in korean character pattern recognition. The phonemes are classified into the patterns which are separable and connected with each other. The former is extracted by means of pattern matching in consideration of topological structure of ponemes and direction of stroke sequentially. The latter is extracted by means of index and window algorithm which are performed by a 3$\times$3 sequential local operation in the thinned character pattern.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.9
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• pp.1029-1039
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• 1992

This paper presents the filtering method which is processed on the frequency domain among Hangul character recognition methods. It is processed the Hangul character parrern with spatial positioning modulation and mapped the Hangul character element which have spatial position variant feature onto frequency domain, at this time, normalized spatial position and so normalized the character size in frequency domain. And it is grouped the Hangul character element according to the generating position and set the standard pattern, and used each standard character element pattern with character element filter and filtering the character pattern of Hangul character, it is derived the normalized cross correlation function and the coherence function led to the filtering results, and calculated classification threshold.

• Journal of the Korean Institute of Telematics and Electronics
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• v.13 no.1
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• pp.23-30
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• 1976

In this paper, a method is proposed for the recognition of hand-written Hangeul. This is peiformed by extraction of the concave structural segments by phase rotation. Character patterns can be decomposed into the fundamental concave structural segments which are also categorized into segment sects, and the closure and phase features of each segment in set is represented by logics. By rotating the logic pattern, the topological and phase features of segment are extracted for the reliable recognition of the character. It is also evaluated that this method applies to a wide variety of shape, position and declination of the character.

• Journal of Ecology and Environment
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• v.31 no.4
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• pp.255-260
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• 2008

A commonly held view in studies of character displacement is that character states of both species are shifted in areas of sympatry. This view has been confirmed in an overwhelming number of cases for ecological character displacement. Excluding species pairs in which one of the two interacting species is found only within the distribution of the other species and species displaying gynogenesis, the pattern of reproductive character displacement is asymmetrical in that the shift in character states between areas of symaptry and allopatry occurs in only one of the two interacting species. Hypotheses for the reasons behind this asymmetry in reproductive character displacement include (1) homogenization by gene flow, (2) other mechanisms of reproductive isolation, and (3) sufficient reproductive isolation being provided by one of the interacting species exhibiting a pattern of reproductive character displacement. Because reproductive isolation can be achieved by divergence at any point in a sequence of premating reproductive behaviors and postmating developments, it is necessary to understand the mechanisms of reproductive isolation of two interacting taxa in areas of sympatry and allopatry and to analyze the relative contributions of potential factors to reproductive isolation to disentangle hypotheses for the patterns of asymmetry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.11 no.2
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• pp.85-92
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• 1986

Hangeul wordprocessor, workstation and I/O device for telematic service are requiring many kinds of characters with various attributes such as size and font. In this paper, we survey computer algorithm that have been studied to transform(reduction, enlargement) built-in character patterns into character patterns with different sizes. Also, evaluation cirteria for such algorithms are mentioned.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1025-1031
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• 2000

Pre-existing pattern recognition techniques, in the case of character recognition, have limited on the application field. But CAI character learning system and writer's recognition system are very important parts. The application field of pre-existing system can be expanded in the content that the learning of characters and the recognition of writers in the proposed paper. In order to achieve these goals, the development contents are the following: Firstly, pre-processing method by understanding the image structure is proposed, secondly, recognition of characters are accomplished b the histogram distribution characteristics. Finally, similarity measure functions are defined from standard character pattern for matching of the input character pattern. Also the effectiveness of this system is demonstrated by experimenting the standard primitive image.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.241-247
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• 2006

We propose a character recognition system to extract the component reference names from printed circuit boards (PCBs) automatically. The names are written in horizontal, vertical, reverse-horizontal and reverse-vertical directions. Also various symbols and figures are included in PCBs. To recognize the character and orientation effectively, we divide the recognizer into two stages: character classification stage and orientation classification stage. The character classification stage consists of two sub-recognizers and a verifier. The rotaion-invarint features of input pattern are then used to identify the character independent of orientation. Each recognizer is implemented as a neural network, and the weight values of verifier are obtained by genetic algorithm. In the orientation classification stage, the input pattern is compared with reference patterns to identify the orientation. Experimental results are presented to verify the usefulness of the proposed system.