• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.323-329
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• 2018

In this paper, we implemented an access control system that only allows specific users to use documents in Hangul document system. The system structure designed in this paper is to transform header information of Hangul document by analyzing the structure of Hangul document. By modifying the function of a specific field of the header information in Hangul document, it prevents users that do not have data for the modified information to open and view the document. By controlling the access rights to important Hangul documents, it is possible to manage Hangul files more safely. In this paper, the actual design of information was implemented and experiments were carried out. Results of the experiment confirmed that the access control system is operated in normal way. In this paper, we implemented an access control system that only allows specific users to use documents in Hangul document system.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.357-364
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• 2005

In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by using two-level image-to-image matching. The system is composed of character segmentation, creating a query image, feature extraction, and matching procedure. Two different feature vectors are used in the matching procedure. An experiment using 1600 Hangul word images from 8 document images, downloaded from the website of Korea Information Science Society, demonstrates that the proposed system is superior to conventional image-based document retrieval systems.

• Asia pacific journal of information systems
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• v.12 no.2
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• pp.179-195
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• 2002

In this research, we developed an efficient Hangul document classification system for text mining. We mean 'efficient' by maintaining an acceptable classification performance while taking shorter computing time. In our system, given a query document, k documents are first retrieved from the document case base using the k-nearest neighbor technique, which is the main algorithm of case-based reasoning. Then, TFIDF method, which is the traditional vector model in information retrieval technique, is applied to the query document and the k retrieved documents to classify the query document. We call this procedure 'CB_TFIDF' method. The result of our research showed that the classification accuracy of CB_TFIDF was similar to that of traditional TFIDF method. However, the average time for classifying one document decreased remarkably.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.229-242
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• 2005

We constructed a full-text retrieval system for the scanned Hangul document images. The system consists of three parts; preprocessing, recognition, and retrieval components. The retrieval algorithm uses recognition results up to k-ranks. The algorithm is not only insensitive to the recognition errors, but also has the advantage of user-controllable recall and precision. For the objective performance evaluation, we used the scanned images of the Journal of Korea Information Science Society provided by KISTI. The system was shown to be practical through theevaluationofrecognitionandretrievalrates.

• Journal of the Korean Society for information Management
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• v.12 no.2
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• pp.85-101
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• 1995

Conventional indexing sytstems support only full-text indexing method for electronic documents and do not use logical structure of documents in retrieval. Most electronic documents are in different formats depending on various systems. Also, they only indicate physical style of the document without considering any logical structure. Thus, in the effort to standardize the exchange of documents. IS0 developed SGML(Stadard Generalized Markup Language) which contains information about logical structure of the documents. In this paper, to resolve the disadvantages of full-text indexing method and to use standard document format. indexing system for SGML document is designed and implemented. In this system, user can assign indexing domain on elements, thus the logical structure of document is reflected in retrieving information. Various retrieval methods can be implemented by using the structural information of the document. In addition, automatic indexing for SGML Hangul document is supported in this system

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.945-957
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• 2012

Electronic documents have characteristics that detecting whether an electronic document is modified or not is not an easy process. Thus verifying integrity of documents is very important for using electronic documents. To facilitate this process, various electronic document software provide digital signature capabilities on themselves. However, there were not much research on the security of digital signature function of software. Therefore, in this paper, we analyze the security of Adobe PDF, MS Word, Hancom Hangul, digital notary service and digital year-end-settlement service, and propose recommendations for implementation of digital signature funcion.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.410-422
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• 1997

In this paper, we descried a bottom-up document structure analysis method in bilingual Korean-English document. We proposed a character segmentation method based on the layout information of connected component of each character. In many researches, a document has been analyzed into text blocks and graphics. We analyzed a document into four parts: text, table, graphic, and separator. A text is recursively subdivided into text blocks, text lines, words, and characters. To extract the character in bilingual text, we proposed a new method of word of word separation of Korean or English. Futhermore, we used a character merging and segmentation method in accordance with the properties of Hangul on the Korean word blocks. Experimental results on the various documents show that the proposed method is very effectively operated on the document structure analysis and the character segmentation.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.306-310
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• 2002

In this paper, we realized a system that converts the Korean alphabet (Hangul) images, which are in any domain that is formed by the finger movement on the Hangul document, to the editable characters and then outputs them to the word editor. The domain of hand is separated from the sphere of document in the pre-process step of image. The centroid point of hand is drawn by the maximum circular movement method. After the system recognizes the hand with the circular pattern vector algorithm, finds out the position of finger by the distance spectrum and then draws out the sphere of selected character image by the finger movement to divide the characters into character units by applying the histogram between the Hangul characters. We standardized the characters of various sizes. We used the circular pattern vector algorithm that grafts on the fuzzy inference to divert the character images of the domain, which user wants, to the editable characters by comparing the characteristic vectors between the standard pattern character and the inputted character and by recognizing the character.

• Analytical Science and Technology
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• v.23 no.2
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• pp.205-215
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• 2010

The purpose of this study is to examine Hangul signature changes of writers under the influence of alcohol using Scale for Handwriting Identification (SHWI). It has been recognized that handwriting is influenced by alcohol. However, in Korea, there has been no study which examined the handwriting changes after drinking alcohol. This study confirmed the differences between signatures in sobriety at police station (SIS) and signatures under the influence of alcohol at sobriety checkpoint (S-UIA) by analyzing the Hangul signature of 30 persons. The comparative characteristics are size, space, omission, writing order, connection. The changes of more than one characteristic were observed among the 27 out of 30 persons. Three of 30 persons did not show any change between S-IS and S-UIA.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.39-55
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• 2013

It is a difficult problem to use keyword retrieval for low-quality Korean document images because these include adjacent characters that are connected. In addition, images that are created from various fonts are likely to be distorted during acquisition. In this paper, we propose and test a keyword retrieval system, using a support vector machine (SVM) for the retrieval of low-quality Korean document images. We propose a keyword retrieval method using an SVM to discriminate the similarity between two word images. We demonstrated that the proposed keyword retrieval method is more effective than the accumulated Optical Character Recognition (OCR)-based searching method. Moreover, using the SVM is better than Bayesian decision or artificial neural network for determining the similarity of two images.