• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.8
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• pp.1-6
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• 1992

This paper proposed a neural computer architecture for the learning of script character pattern recognition categories. Oriented filter with complex cells preprocess about the input script character, abstracts contour from the character. This contour normalized and inputed to the ART. Top-down attentional and matching mechanisms are critical in self-stabilizing of the code learning process. The architecture embodies a parallel search scheme that updates itself adaptively as the learning process unfolds. After learning ART self-stabilizes, recognition time does not grow as a function of code complexity. Vigilance level shows the similarity between learned patterns and new input patterns. This character recognition system is designed to adaptable. The simulation of this system showed satisfied result in the recognition of the hand written characters.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.698-701
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• 2003

In recent years, various digital characters, which are automatic and intelligent, are attempted with the introduction of artificial intelligence or artificial life. Since the style of a character's behavior is usually designed by a developer, the style is very static and simple. So such a simple pattern of the character cannot satisfy various users and easily makes them feel tedious. A game should maintain various and complex styles of a character's behavior, but it is very difficult for a developer to design various and complex behaviors of it. In this paper, we adopt the genetic algorithm to produce various and excellent behavior-styles of a character especially focusing on Robocode which is one of promising simulators for artificial intelligence.

• The Journal of Engineering Research
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• v.1 no.1
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• pp.59-64
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• 1997

More than 2,000 different chinese characters are used daily in Korea newspapers and publications. The large repertoire of character pattern are the main difficulties when machine recognition of chinese characters is concerned. The goal of this paper is to conceive, evaluate and refine techniques for high performance Chinese character recognition. A new character classifier was being developed using prototype creation method.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.1-10
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• 2004

In this paper, a new character segmentation algorithm of machine printed character recognition is proposed. The new approach of the proposed character segmentation algorithm overcomes the weak points of both feature-based approaches and recognition-based approaches in character segmentation. This paper defines side profiles of touching characters. The character segmentation algorithm gives a candidate single character in touching characters by side profiles, without any help of character recognizer. It segments touching characters and decides the candidate single character by side profiles. This paper also defines cutting cost, which makes the proposed character segmentation find an optimal segmenting path. The performance of the proposed character segmentation algorithm in this paper has been obtained using a real envelope reader system, which can recognize addresses in U.S. mail pieces and sort the mail pieces. 3359 mail pieces were tested. The improvement was from $68.92\%\;to\;80.08\%$ by the proposed character segmentation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.51-64
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• 2004

The purpose of this paper is to establish the Standard Korean Vocal Sound into Character Conversion Rule (Standard VSCC Rule) by reversely applying the Korean Standard Pronunciation Rule that regulates the way of reading written Hangeul sentences. The Standard VSCC Rule performs a crucially important role in Korean speech recognition. The general method of speech recognition is to find the most similar pattern among the standard voice patterns to the input voice pattern. Each of the standard voice patterns is an average of several sample voice patterns. If the unit of the standard voice pattern is a word, then the number of entries of the standard voice pattern will be greater than a few millions (taking inflection and postpositional particles into account). This many entries require a huge database and an impractically too many comparisons in the process of finding the most similar pattern. Therefore, the unit of the standard voice pattern should be a syllable. In this case, we have to resolve the problem of the difference between the Korean vocal sounds and the writing characters. The process of converting a sequence of Korean vocal sounds into a sequence of characters requires our Standard VSCC Rule. Making use of our Standard VSCC Rule, we have implemented a Korean vocal sounds into Hangeul character conversion system. The Korean Standard Pronunciation Rule consists of 30 items. In order to show soundness and completeness of our Standard VSCC Rule, we have tested the conversion system with various data sets reflecting all the 30 items. The test results will be presented in this paper.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.617-619
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• 2021

Since Manchu characters are written vertically and are connected without spaces within a word, a preprocessing process is required to separate the character area and the units that make up the characters before recognizing the characters. In this paper, we describe a preprocessing method that extracts the character area and cuts off the unit of the character. Unlike existing research that presupposes a method of recognizing each word or character unit, or recognizing the remaining part after removing the stem of a continuous character, this method cuts the character into each recognizable unit. It can be applied to the method of recognizing letters by combining the units. Through an experiment, the effectiveness of this method was verified.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.33-40
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• 2017

In this paper, we propose a text extraction method by pattern analysis on contour for effective text detection in image. Text extraction algorithms using edge based methods show good performance in images with simple backgrounds, The images of complex background has a poor performance shortcomings. The proposed method simplifies the color of the image by using K-means clustering in the preprocessing process to detect the character region in the image. Enhance the boundaries of the object through the High pass filter to improve the inaccuracy of the boundary of the object in the color simplification process. Then, by using the difference between the expansion and erosion of the morphology technique, the edges of the object is detected, and the character candidate region is discriminated by analyzing the pattern of the contour portion of the acquired region to remove the unnecessary region (picture, background). As a final result, we have shown that the characters included in the candidate character region are extracted by removing unnecessary regions.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1256-1259
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• 2002

In this paper, we have proposed license plate recognition system for multi-national vehicle license plate using geometric features along with hybrid and seven segment pattern vectors. In the proposed system, we suggested to find horizontal and vertical relation after going through preparation process with inputted real-time license plate image of Korea and Japan, and then to classify license plate with using characteristic and geometric information of license plates. It classifies the extracted license plate images into letters and numbers, such as local name, local number, classification character and license consecutive numbers, and recognize license plate of Korea and Japan by applying hybrid and seven segments pattern vectors to classified letter and number region. License plate extraction step of the proposed system uses width and length information along with relative rate of Korean and Japanese license plate. Moreover, it exactly segmentation by letters with using each letter and number position information within license plate region, and recognizes Korean and Japanese license plates by applying hybrid and seven segment pattern vectors, containing characteristics related to letter size and movement within segmented letter area. As the result of testing the proposed system in real experiment, it recognized regardless of external lighting conditions as well as classifying license plates by nations, Korea and Japan. We have developed a system, recognizing regardless of inputted structural character of vehicle licenses and external environment.

• Sleep Medicine and Psychophysiology
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• v.12 no.1
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• pp.45-49
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• 2005

Objectives: To compare the biogenetic temperament and character patterns of subjects with narcolepsy and those of healthy control subjects. Methods: Twenty-two subjects with narcolepsy, diagnosed with the International Classification of Sleep Disorder (ICSD) criteria, and 22 healthy control subjects were recruited. The Korean version of the Temperament and Character Inventory was administered to all subjects. Results: Compared to healthy control subjects, subjects with narcolepsy showed significantly higher Novelty-Seeking (ANCOVA, F=5.42, p=0.025), lower Persistence (F=8.41, p=0.006) and lower Self-Directedness scores (F=4.70, p=0.036). Conclusion: Narcoleptic patients have a distinct pattern of biogenetic temperament and character. Our findings suggest that narcoleptic patients are exploratory in response to novelty but give up easily. In addition, our findings show that narcoleptic patients consider themselves ineffective, purposeless, and fragile.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.65-75
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• 2017

This research studies the behavior patterns of a character in FIFA Online3, and the transaction patterns between the characters to present a character that acts like a real person and has social interaction with other characters. A character interacts with others mediated by balls in FIFA Online3, we analysis character's behavior and interactions more cleary. Providing the realistic behavior patterns of a character and the relation in the transaction patterns between the characters based on psychology theory, we can give a player the sense of reality. To define the behavior pattern of a character, this study applied the Ego-state as defined by Transactional Analysis(TA). Based on the Transactions in TA, this study then defined the transaction patterns between the characters, which are produced by the actions that a character in the game. This study also presented how to apply a character's transaction patterns with the examples. It showed that a character can act in the game like a real person by defining how a character acts and interacts in the game.