• Journal of the Korean Graphic Arts Communication Society
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• v.3 no.1
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• pp.43-50
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• 1985

This paper describes an algorithm recognizing multi-font printed numeric characters. In order to extract feature selection of printed numeric characters. this paper describes an algorithm using stoke density function. Printed numeric characters are recognized by using the set of stroke-density feature vectors.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.431-431
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• 2006

• 전기의세계
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• v.39 no.7
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• pp.60-65
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• 1990

Postscript는 미국의 Adobe사에서 개발되었으며 1985년 처음으로 Apple의 Laserwriter에 탑재되어 시장에 등장하여, 현재 전세계 PDL 시장의 표준이 되어가고 있다. 그외에도 Imagen의 Document Description Language (DDL)와 Xerox의 Model을 3절에서는 Postscript의 가장 큰 장점 중의 하나인 font를, 그리고 4절은 Postscript의 일반적인 활용 방법에 대해 서술하였다. Postscript에 대한 이해를 높이기 위해 postscript 프로그램의 출력 결과를 부록으로 첨가하였다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.192-193
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• 2005

• The Transactions of the Korea Information Processing Society
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• v.2 no.6
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• pp.857-865
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• 1995

In this paper, a nibble RLE(Run Length Encoding) code for real time compression and decompression of Hanguel bit map font and printer data is proposed. The nibble RLE code shows good compression ratio in complete form Hangeul Myoungjo and Godik style bit map font and printer output bit map data. And two ASICs seperating compression and decompression are designed and simulated on CAD to verify the proposed code. The 0.8 micron CMOS Sea of Gate is used to implement the ASICs in amount of 2, 400 gates, and these are running at 25MHz. Therefore, the proposed code could be implemented with simple hardware and performs 100M bit/sec compression and decomression at maximum, it is good for real time applications.

• International Journal of Contents
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• v.6 no.2
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• pp.1-5
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• 2010

The rapid growth in communication technology has led to the development of effective ways of sharing ideas and information in the form of speech and images. Understanding this information has become an important research issue and drawn the attention of many researchers. Text in a digital image contains much important information regarding the scene. Detecting and extracting this text is a difficult task and has many challenging issues. The main challenges in extracting text from natural scene images are the variation in the font size, alignment of text, font colors, illumination changes, and reflections in the images. In this paper, we propose a connected component based method to automatically detect the text region in natural images. Since text regions in mages contain mostly repetitions of vertical strokes, we try to find a pattern of closely packed vertical edges. Once the group of edges is found, the neighboring vertical edges are connected to each other. Connected regions whose geometric features lie outside of the valid specifications are considered as outliers and eliminated. The proposed method is more effective than the existing methods for slanted or curved characters. The experimental results are given for the validation of our approach.

• The Journal of Information Technology
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• v.4 no.1
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• pp.71-79
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• 2001

This paper presents an adaptive back propagation algorithm that update the learning parameter by the generated error, adaptively and configuration of the range for the initial connecting weight according to the different maximum target value from minimum target value. This algorithm is expected to escaping from the local minimum and make the best environment for the convergence. On the simulation tested this algorithm on three learning pattern. The first was 3-parity problem learning, the second was $7{\times}5$ dot alphabetic font learning and the third was handwritten primitive strokes learning. In three examples, the probability of becoming trapped in local minimum was reduce. Furthermore, in the alphabetic font and handwritten primitive strokes learning, the neural network enhanced to loaming efficient about 27%~57.2% for the standard back propagation(SBP).

• Journal of Korea Multimedia Society
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• v.23 no.11
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• pp.1361-1371
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• 2020

Fonts have developed as a visual element, and their influence has rapidly increased around the world. Research on font automation is actively being conducted mainly in English because Hangul is a combination character and the structure is complicated. In the previous study to solve this problem, the stroke element of the character was automatically extracted by applying the object detection by component. However, the previous research was only for similarity, so it was tested on various print style fonts, but it has not been tested on other characters. In order to extract the stroke elements of all characters and fonts, we performed a performance analysis experiment according to the expansion character in the Hangul stroke element extraction training. The results were all high overall. In particular, in the font expansion type, the extraction success rate was high regardless of having done the training or not. In the character expansion type, the extraction success rate of trained characters was slightly higher than that of untrained characters. In conclusion, for the perfect Hangul stroke element extraction model, we will introduce Semi-Supervised Learning to increase the number of data and strengthen it.

• Journal of Korea Multimedia Society
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• v.13 no.2
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• pp.196-204
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• 2010

In this paper, we develope a defect inspection method for each buttons of keypad of cellular phones before they are assembled. The proposed algorithm consists of the similar color checking and its classification, font error detection, and scratch detection based on the segmentation of keypad area and font, translation and rotation processing sequentially. Especially, the proposed segmentation method approximate the pad region as B-spline function to deal with illumination change due to the shape of key button with the slant and curved surface followed by simple thresholding. And also, the rotational information is obtained by using eigen value and eigen vector very fast and effectively. The experimental results show that the performance of the proposed algorithm is good when it is applied to in-line process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.227-229
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• 2011

To develop an effective web site, Ajax, jQuery and various techniques have been developed. Administrator interface to powerful, where the administrator can easily create a variety of functions from the menu, but this is not leaving the form of text or code, modify it and then when is low. To solve these problems, in this paper we are making conjunction with CSS which provide the database with open font and CSS features in variety of images, converted into text using the open font, these existing production methods with a Web site that provides a differentiated ways.