• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.777-784
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• 2003

In this Paper. we propose a recognition method of machine printed characters based on the combination of recognition units using multiple neural networks. In our recognition method, the input character is classified into one of 7 character types among which the first 6 types are for Hangul character and the last type is for non-Hangul characters. Hangul characters are recognized by several MLP (multilayer perceptron) neural networks through two stages. In the first stage, we divide Hangul character image into two or three recognition units (HRU : Hangul recognition unit) according to the combination fashion of graphemes. Each recognition unit composed of one or two graphemes is recognized by an MLP neural network with an input feature vector of pixel direction angles. In the second stage, the recognition aspect features of the HRU MLP recognizers in the first stage are extracted and forwarded to a subsequent MLP by which final recognition result is obtained. For the recognition of non-Hangul characters, a single MLP is employed. The recognition experiments had been performed on the character image database collected from 50,000 real letter envelope images. The experimental results have demonstrated the superiority of the proposed method.

• Journal of Korean Institute of Industrial Engineers
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• v.17 no.2
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• pp.27-37
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• 1991

A recognition algorithm for Hangul is developed by structural analysis to Hangul in this theses. Four major procedures are proposed : preprocessing, type classification, separation of consonant and vowel, recognition. In the preprocessing procedure, the thinning algorithm proposed by CHEN & HSU is applied. In the type classification procedure, thinned Hangul image is classified into one of six formal types. In the separation of consonant and vowel procedure, starting from branch-points which are existed in a vowel, character elements are separated by means of tracing branch-point pixel by pixel and comparison with proposed templates. In the same time, the vowels are recognized. In the recognition procedure, consonants are extracted from the separated Hangul character and recognized by modified Crossing method. Recognized characters are converted into KS-5601-1989 codes. The experiments show that correct recognition rate is about 80%-90% and recognition speed is about 2-3 character persecond in three types of different input data on computer with 80386 microprocessor.

• Journal of the Korean Institute of Telematics and Electronics
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• v.14 no.3
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• pp.12-17
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• 1977

Above all computerization of Hangul composite printing is an urgent task for the effective utilization of computer as a useful mean handling information in this information flooded era. However it is a very difficult problems due to the unique mechanism of the Hangul character combination. There in this paper 13$\times$14 Dot Matrix processing method is applied to get a fine result of the Hangul out look. Further more Hangul input/output data processing is accomplished by the software program developed.

• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1213-1219
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• 2014

Keypad used in the portable terminal based on the touch screen such as current smart phones is complex on the input method because of placement for use a small screen on a character or number button and is inconvenient. In this paper, we propose a combination method for the Hangul through touch and drag. First, only keypad for consonants is displayed, if a single consonant is selected by touch, then the keypad for vowels will be displayed around the consonant. Dragging in the keypad is combined into a vowel by depending on the drag path. This method can input Hangul by rapid and intuitive process compared to conventional methods. Simulation results show that the proposed method is very efficient in terms of speed and convenience compared to the conventional methods.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.6
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• pp.76-85
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• 1993

In this paper, we propose a stroke matching method for the off-line recognition of handprinted Hangul. In this method, the preprocessing steps such as position normalization, contour tracing and thinning are carried out first. Then, after extracting features such as the firection component distribution of contour, the direction component distribution of skeleton, and the distribution of structural feature points, strokes are extracted and matched based on the midpont distribution of the direction and the length of each stroke. In order to reduce the recognition time, a preliminary classification based on the direction component distribution features of the contour is performed. In order to domonstrate the performance of the proposed method, experiments with 520 most frequently used Hangul were performed, and 90.7% of correct recognition rate and 0.46second of recognition time per one character has been obtained. This results reveal that the proposed method can absorb effectively the noise in input character and the variations of stroke slant.

• The KIPS Transactions:PartD
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• v.11D no.1
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• pp.195-202
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• 2004

This paper describes the development of a window manager based on the real time operating system, Qplus-p, for small internet appliance. Current window managers for small internet appliance are originally developed for desktop environment and then modified for embedded systems. So they have inadequate functions for small internet appliances and do not perfectly support Hangul. The Qplus-P window manager adds the Hangul processing function to Matchbox window manager, a royalty-free window manager for small Internet appliance and provides a new Hangul input method called Amikey. Input mode can be changed automatically from Hangul mode to English mode and vice versa by Amikey. In addition, Qplus-P window manager provides Hangul supported basic applications such as web browser, e-mail client, MP3 player. We developed the window manager by porting open sources to target system after adding Hangul supported functions to them.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.204-205
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• 2005

• The KIPS Transactions:PartB
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• v.14B no.5
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• pp.391-400
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• 2007

An interactive Hangul input method using the numeric phone keypad, which is applicable for mobile devices is introduced. In the proposed method, user only selects the corresponding keys by single tapping, for the alphabet of Korean letter which is desired to enter. The interface generates the subset of eligible letters for the key sequence, then the user selects the desired letter in the set. Such an interactive approach transforms the text entry interface into a multi-level interactive letter-oriented style, from the preexisting passive and single-level alphabet-oriented interface. The annoyance of key-operations, the major disadvantage of the previous methods, derived from multi-tap to clear the ambiguity of multi-assigned alphabets for the Hangul automata, can be eliminated permanently, while the additional letter selection procedure to finalize the desired letter is essential. Also the complexity of Hangul text entry is reduced since all letters can be compounded from basic alphabet selection of the writing sequence order. The advantage and disadvantage of the proposed method are analyzed through comparing with pre-existing method by experiments.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.4
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• pp.1-8
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• 1994

In this paper, we propose an efficient two-step pattern matching method which promises shape distortion-tolerant recognition of handwritten of handwritten Hangul syllables. In the first step, nonlinear shape normalization is carried out to compensate for global shape distortions in handwritten characters, then a preliminary classification based on simple pattern matching is performed. In the next step, nonlinear pattern matching which achieves best matching between input and reference pattern is carried out to compensate for local shape distortions, then detailed classification which determines the final result of classification is performed. As the performance of recognition systems based on pattern matching methods is greatly effected by the quality of reference patterns. we construct reference patterns by combining the proposed nonlinear pattern matching method with a well-known averaging techniques. Experimental results reveal that recognition performance is greatly improved by the proposed two-step pattern matching method and the reference pattern construction scheme.

• Journal of the Ergonomics Society of Korea
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• v.30 no.5
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• pp.621-628
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• 2011

Objective: The aim of this study is to give interest about usability of cellular phone keypad for left-handed person. Background: Although there are being a lot of attempts to design suitable product on user's request in process that design cellular phone keypad, ergonomic access about left-handed person who compose decimal class is unprepared. Especially, in early user's occasion, left-handed persons need more efforts than right-handed person to master Hangul character input process skill level. But, since realization about this left-handed person's discomfort has not spread, the importance has not been well thought in the society. Method: (1) After extracting emblem to use in comparison in questionnaire, applied emblem uniformly to different 3 kind of cellular phone. (2) Measured Hangul input time and mistyping number by dominant hand's position and skill level to reagent. (3) Taking the result through ANOVA. Conclusion: In the result of the experiment about Hangul input time and mistyping number according to dominant hand's position and skill level, left-handed person's group on the low skill level has shown the dullest use capability among 4 experiment groups. Application: In the future, analysis result may be used to the data of realization conversion in process design of various products including cellular phone keypad to consider left-handed person.