• Journal of the Korean Society of Safety
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• v.24 no.5
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• pp.92-100
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• 2009

This study evaluated the effects of the syllable number(one, two), font type(gothic, myung), color contrast (black on white, white on black), display type(paper, LCD), age(20s, 60s) and character size(2~80pt) on the Korean characters' legibility. Total twenty subjects from two age groups (20s: n=10, 60s: n=10, five male and five female in each group) participated in the legibility test. A target panel was presented in the distance of 50 cm, and subjects conducted a reading tests for, in total, 16 treatment conditions (full combination of syllable number, font type, color contrast and display type). Results showed that two-syllable words revealed better legibility than one-syllable character. The main effects of the age, display type, font type, color contrast, and character size were statistically significant(p<0.01). Paper showed better legibility than LCD, particularly in the 20s and in the character sizes of less than 9pt. Gothic revealed more correct answers than Myung, particularly in the 60s, paper, and white on black conditions. It is expected that these results can provide basic data for the determination of the Korean characters' minimum legible size standards. For example, the minimum legible size for the Gothic and black on white characters presented in the paper should be 5pt for 20s and 1lpt for 60s if the 75% correct reading(3 correct answers in this study) was applied for the legibility criterion.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.59-63
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• 2015

A design guideline about legible and preferred Korean character sizes is necessary to provide better visual information in a group-view display. The present study examined the legible and preferred Korean character sizes by an experiment employing eight background-font colors and four representative font types (Gulim, Ming, Gothic, and Batang). Forty subjects (male : 20 and female : 20) in their 20s were recruited for the experiment. The legible and preferred sizes were determined based on the method of limits, one of psychological approaches. The results showed that the legible and preferred sizes increased as the contrast between background and font colors decreased. In addition, the legible and preferred sizes for Gulim were significantly smaller than those of the other font types. It is expected that the present study may contribute to providing better visual information in a group view display.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.247-251
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• 2000

This study examined relative importance of these factors by asking people to read the texts that was constituted with square and non-squre form letter and rank the preference of texts through conjoint analysis. In the case of reading time, font type was the most important factor, followed by leading , line width, font size, line length, justification, letter width in their order of impotance. And in the case of preference decision, font size was the most important factor, followed by font type, leading, line width, letter width, justification, line length. The result will be useful in understanding how to consider human preference in the Hangul typography.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.3
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• pp.52-58
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• 1999

This paper proposed and algorithm for distinguishing Korean and English characters which can be applied to multi-size and multi-font images The proposed algorithm distinguishes them as the ratio height to width of each character, the number of connected component, existing or not of stroke image on the left-upper area and detection of bars in an input image. The process of detecting bar is a sequence of left, upper, right, and lower. The proposed method was experimented and proved good performance for the Myungjo font, the Sinmyungjo font, the Gothic font, and the Kungseo font of Hanguel word processor which is widely used for the writing of documents.

• Proceedings of the ESK Conference
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• 2004.10a
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• pp.48-48
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• 2004

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1059-1068
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• 2022

Recently, research using image-based deep learning is being conducted to determine similar fonts or recommend fonts. In order to increase the accuracy in judging the similarity of Hangul fonts, a previous study was conducted to calculate the similarity according to the combination of stroke elements. In this study, we tried to solve this problem by designing an integrated model that reflects the weights for each stroke element. By comparing the results of the user's font similarity calculation conducted in the previous study and the weighted model, it was confirmed that there was no difference in the ranking of the influence of the stroke elements. However, as a result of comparison by letter sizes, it was confirmed that there was a difference in the ranking of the influence of stroke elements. Accordingly, we proposed a weighted model set separately for each font size.

• Journal of Korean Ophthalmic Optics Society
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• v.18 no.2
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• pp.149-156
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• 2013

Purpose: The aim of this study was to determine a suitable type and size of Hangul fonts for printed materials in the presbyopic age. Methods: Based on the most common Hangul fonts used today, three types of fonts were used Hamchrombatang, Sinmoonmyungjo and Sinmyungjo at small font sizes in the range 9-11 point (pt). Subjects were 101 volunteers aged 41 through 85 years. Near visual acuity (VA) was corrected to read VA 0.5 at 40 cm after distance correction. The subjects were asked to read words containing 88 characters in 10 pt after a question about preference. Readability was assessed by reading rate that was calculated as the number of words read correctly in one minute (words per minute, wpm). Results: The most preferred font type was Simmyungjo at small font sizes. Although preferred font sizes were different in each font type, Sinmyungjo was generally preferred at 10 pt more than other fonts. Hamchrombatang and Sinmyungjo were read significantly faster than Sinmoonmyungjo. There was a weak negative relationship between readability and age in Sinmyungjo. In comparing between the top 10% and the bottom 10% group sorted by reading rate, the top group showed lower average age and addition than the bottom group, however there were no significant differences in reading rate among the fonts. Conclusions: Although increasing age tends to be low in readability for Sinmyungjo, in the light of preferred font and readability, it is recommended to use a 10 pt Sinmyungjo font in printed materials for the presbyopic age.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.163-172
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• 2013

This study was conducted to explore a method of displaying optimized letters that fit the size of tables using a genetic algorithm. As a result, fonts with optimized letters of different lengths were offered through optimum values of the font size, line spacing, and letter spacing by calculating the width and height of the cell and number of letters to be entered. This study is significant in that it provides a solution to letter optimization issues in fixed cells that occur in various word processors that are currently used, through the genetic algorithm.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.29A no.2
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• pp.100-106
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• 1992

In this pape, we designed and implemented a hardware accelerator for the generation of bit map font from Hangul outline font description for LBP (Laser Beam Printer) and screen applications Whole system was implemented as a double size PC/AT application board which consists of processing bolck and display block. The processing block has a master processor (MC68000)and two slave processors which are MC56001 and KAFOG chip responsible for the short vector generation. In the display block, TMS34061 was used for monitor display and GP425 was used for LBP print out. The resolution of the monitor is 640$\times$480 and that of LBP is 2385$\times$3390. The current system called KHGB90-B generates about 100 characters per second where each character consists of 32$\times$32 bits

• Smart Media Journal
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• v.5 no.3
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• pp.30-34
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• 2016

Nowadays, there are a lot of Korean documents, which often need to be identified in one of printed or handwritten text. Early methods for the identification use structural features, which can be simple and easy to apply to text of a specific font, but its performance depends on the font type and characteristics of the text. Recently, the bag-of-words model has been used for the identification, which can be invariant to changes in font size, distortions or modifications to the text. The method based on bag-of-words model includes three steps: word segmentation using connected component grouping, feature extraction, and finally classification using SVM(Support Vector Machine). In this paper, bag-of-words model based method is proposed using SURF(Speeded Up Robust Feature) for the identification of machine printed and handwritten text in Korean documents. The experiment shows that the proposed method outperforms methods based on structural features.