• Journal of Oriental Neuropsychiatry
• /
• v.25 no.2
• /
• pp.133-142
• /
• 2014

Objectives: The aim of this study was to investigate the effects of handwriting on the writing assessment, according to whether the handwriting is excellent or bad. Methods: A total of 24 elementary and middle school teachers participated in this study and assessed 6 original writings and 6 transcriptions of the same original writings using the HWP 2007 program. Six writings were collected from elementary students of 4th to 6th grades, 3 of 6 students presented with excellent handwriting and 3 of 6 with bad handwriting. The assessments were done according to the standards of propositional knowledge assessment (You & Jeong, 2008). Results: In the excellent handwritings, the rules of orthography and the contents of introduction of the original writings were scored higher than those in the transcriptions. The difference between transcription and original writing showed minus scores in original writing assessments and plus scores in transcription assessments. In the propositional knowledge score and its subscales scores - content knowledge, text knowledge, language knowledge and text context knowledge -, were differences in transcription assessments significantly higher than those in original writing assessments. Several assessment indices - clarity of the ending, contents of introduction, appropriate contents, rules of orthography, structured composition and various vocabularies showed significantly higher differences in transcription assessments than those in original writing assessments. Conclusions: The excellent handwriting could be assessed high and the bad handwriting could be assessed low. These results suggest that we should consider the effects of handwriting factors on the results of writing assessment and that the transcription could be used for an accurate writing assessment.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.3
• /
• pp.13-22
• /
• 2024

Currently, with the proliferation of digital devices, the significance of handwritten texts in daily lives is gradually diminishing. As the use of keyboards and touch screens increase, a decline in Korean handwriting quality is being observed across a broad spectrum of Korean documents, from young students to adults. However, Korean handwriting still remains necessary for many documentations, as it retains individual unique features while ensuring readability. To this end, this paper aims to implement an application designed to improve and correct the quality of handwritten Korean script The implemented application utilizes the CRAFT (Character-Region Awareness For Text Detection) model for handwriting area detection and employs the VGG-Feature-Extraction as a deep learning model for learning features of the handwritten script. Simultaneously, the application presents the user's handwritten Korean script's reliability on a syllable-by-syllable basis as a recognition rate and also suggests the most similar fonts among candidate fonts. Furthermore, through various experiments, it can be confirmed that the proposed application provides an excellent recognition rate comparable to conventional commercial character recognition OCR systems.

• Journal of Korean Medical classics
• /
• v.22 no.4
• /
• pp.117-128
• /
• 2009

This study is purposed to list the full translation of "The secret method of tumor treatment(治瘇方)" and to report the results to the academic world. The results are described as follows. 1. It seems to be difficult to accept the current "The secret method of tumor treatment(治瘇秘方)" as the original script of "The method of tumor treatment(治瘇方)". It seemed that the Imeonguk(任彦國)'s 'Important and Valuable Method(遺方)' at the era of Joseon was copied by handwriting among the private sector. 2. There are contents which are overlapped with "Experience Method of Acupuncture(針灸經驗方)". A further study is required whether the "Experience Method of Acupuncture" was added later on. Because resolution for the before and after of these two books may be acted as an important matter to conjecture the related schools with acupuncture science. 3. The Korean style unique method and terminology were introduced frequently in "The method of tumor treatment". Besides that, materials for the medicine were filled with the things of easy-to-contact in our daily life. It is regarded as one of the excellent materials to confirm the superiority of oriental medical science through the clinical experiments today.

• Journal of the Korean Society of Costume
• /
• v.61 no.8
• /
• pp.32-44
• /
• 2011

This study will explore the application of the Korean alphabet 'Hangul' and its calligraphy on fashion design. Hangul is well known for its great formative characteristics. Its calligraphy has unique features that express the implicative meaning of the Korean language while simultaneously displays beautiful shapes that draw the viewer's eye. When Hangul calligraphy is applied on the pattern design, it can be an excellent opportunity to demonstrate the visual beauty of Hangul. The purpose of this study is to develop the pattern designs that utilize the Hangul calligraphy and apply them in various fields of fashion. The detailed concepts of this study are as follows. First, the theoretical concepts and characteristics of both Hangul calligraphy and pattern design will be understood. Second, the aesthetic characteristics of calligraphy will be drawn by case analysis on the artworks of famous calligraphers such as Kim Jong-geon, Kang Byeong-in, Lee Sang-hyeon, Lee Gyu-bok and other representative calligraphers who design the beauty of Korean calligraphy by handwriting and brush-writing. The obtained results will be used to explore the desirable direction of fashion design. Third, eight pattern motif fashion works that utilize Hangul calligraphy in accordance with the arrangement of different characteristics of fashion design will be presented.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.6
• /
• pp.1345-1352
• /
• 2010

The structural approach in the signature verification, representing a signature as a structural form of local primitives, shows an excellent performance since it counts in the local characteristics such as local variation, stroke complexity, and etc. However, this method has a problem of template data sizing which can not fix the number of subpatterns comprising a signature. In this paper, we proposed a new algorithm to reduce the signature data into a fixed size by selecting a fixed number of subpatterns which is considered as important parts. As a result, it shows more excellent performance when the fixed sized sub-patterns is applied with local weights extracted from variational characteristics and complexities in local part. And the number of subpatterns representing a signature reference model can be fixed under a certain number of segments determined appropriately.