• Journal of Korea Multimedia Society
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• v.8 no.11
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• pp.1449-1461
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• 2005

In this paper, we propose a vehicle recognition system based on the classification of vehicle identification mark and recognition of vehicle license plate. In the proposed algorithm, From the input vehicle image, we first simulate preprocessing procedures such as noise reduction, thinning etc., and detect vehicle identification mark and license plate region using the frequency distribution of intensity variation. And then, we classify extracted vehicle candidate region into identification mark, character and number of vehicle by using structural feature informations of vehicle. Lastly, we recognize vehicle informations with recognition of identification mark, character and number of vehicle using hybrid and vertical/horizontal pattern vector method. In the proposed algorithm, we used three properties of vehicle informations such as Independency property, discriminance property and frequency distribution of intensity variation property. In the vehicle images, identification mark is generally independent of the types of vehicle and vehicle identification mark. And also, the license plate region between character and background as well as horizontal/vertical intensity variations are more noticeable than other regions. To show the efficiency of the propofed algorithm, we tested it on 350 vehicle images and found that the propofed method shows good Performance regardless of irregular environment conditions as well as noise, size, and location of vehicles.

• The Transactions of the Korea Information Processing Society
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• v.4 no.4
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• pp.1141-1151
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• 1997

In this paper the Maximum Block Method is suggested for the Feature Extraction of stokes of off-line Chinese characters.The Maximum Block Method is a technique which enlarges the block from the first found pixel that wxtracts the skeleton and features of the input characters.The maximum Block mthod is an adequate technique for the correct extraction of the features since the exsting thining methods have shortcomings of making the feature extraction difficult from the distoritions generated from the effiects of the parial noises,inflection points and blemishes. The printed outputs and chinese books of the middle and high school students,and other materials are used for the test.It was found that the Maxthod is also an effective technique for the extraction of skeleton line and features,which is the preoprocessing of the pattern recognition,for the Korean chracters and English as well as chinese chracters.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1379-1386
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• 2006

전자우편이나 문자 메세지를 이용할 때 겪는 불편함 중 하나는 상대방이나 기계에 정서 정보를 전달하기 어렵다는 점이다. 정서 정보를 메시지에 싣기 위해서는 컴퓨터나 디지털 기기가 정서를 인식하거나 사용자가 정서를 입력해야 한다. 기존의 정서 인식 방법은 생리적, 신체적 측정치를 이용하는 것인데, 이 경우 측정을 위한 별도의 장비가 필요하고 현재 자신의 정서 상태와 다른 정서를 표현할 수 없다는 단점이 있다. 특히 소형 모바일 기기를 이용할 때 다른 측정 장치를 사용하는 것은 더욱 어렵다. 이런 문제를 해결하기 위해 모바일 기기를 사용하는 환경에서 사용자가 원하는 정서를 기계에 입력하기 위해 동작을 이용하려는 연구가 진행되었다(Fargerberg, Stahl, & Hook, 2003). 본 연구에서는 Laban Movement Analysis에서 동작을 구성하는 다섯 요소 중 노력(effort)과 모양(shape) 요소를 재구성하여, 방향성 차원, 무게감 차원, 시간감 차원으로 동작을 구분하고 총 20개의 동작을 선정하였다. 또한 한덕웅과 강혜자(2000)가 수집한 834개 정서 어휘를 평정하여 동작을 통해 표현하고 전달되기 쉬운 정서 어휘 50개를 선택하였다. 최종 실험에서 참가자들은 20개의 동작에 대해 50개의 정서 어휘를 평정하고 데이터는 범주형 주성분분석을 이용하여 분석하였다. 분석 결과 Russell(1980)의 이차원 정서 구조 모형에서 각성 수준 차원은 동작의 무게감과 시간감 차원과 관련이 있는 것으로 나타났다. 강하고 빠른 동작일수록 각성 수준이 높은 정서가 나타났다. 또한 동작의 방향성 차원은 정서의 종류와 관련이 있는 것으로 드러났다. 직선 움직임은 높은 각성 수준의 부정적 정서와, 흔듦 움직임은 불안 및 초조와, 원형 움직임은 즐거운 정서와 관련이 있는 것으로 나타났다. 이는 동작을 통하여 정서 정보를 효과적으로 전달할 수 있음을 보여주었고, 동작과 정서를 연관 짓기 위해 방향성 차원과 무게감 차원 그리고 시간감 차원을 고려할 필요가 있음을 시사한다.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.33-41
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• 2011

Although conventional text-based passwords are used as the most common authentication method, they have significant drawbacks such as guess attacks, dictionary attacks, key loggers, and shoulder-surfing. To address the vulnerabilities of traditional text-based passwords, graphical password schemes have been developed as possible alternative solutions, but they have a potential drawback that they are more vulnerable to shoulder-surfing than conventional text-based passwords. In this paper, we present a new Hangul password input method to prevent shoulder-surfing attacks. Our approach uses Hangul as a password, and it requires the users to locate their password in the given wheeling password grid instead of entering the password. Our approach makes it difficult for attackers to observe a user's password since the system shows the users' passwords with decoy characters as the noise on the screen. Also, we provide security analysis for random attacks, dictionary attacks, and shoulder-surfing attacks, and it shows that our password system is robust against these attacks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.6
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• pp.1443-1453
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• 1998

This paper presents the speech synthesis engine that converts the character strings kept in a computer memory into the synthesized speech sounds with enhancing the intelligibility and the naturalness by adapting the waveform processing method. The speech engine using demisyllable speech segments receives command streams for pitch modification, duration and energy control. The command based engine isolates the high level processing of text normalization, letter-to-sound and the lexical analysis and the low level processing of signal filtering and pitch processing. The TTS(Text-to-Speech) system implemented by using the speech synthesis engine has three independent object modules of the Text-Normalizer, the Commander and the said Speech Synthesis Engine those of which are easily replaced by other compatible modules. The architecture separating the high level and the low level processing has the advantage of the expandibility and the portability because of the mix-and-match nature.

• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.737-744
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• 2005

In this paper, we propose a three-level color clustering algerian for the binarization of text regions extracted from natural scene images. The proposed algorithm consists of three phases of color segmentation. First, the ordinary images in which the texts are well separated from the background, are binarized. Then, in the second phase, the input image is passed through a high pass filter to deal with those affected by natural or artificial light. Finally, the image Is passed through a low pass filter to deal with the texture in texts and/or background. We have shown that the proposed algorithm is more effective used gray-information binarization algorithm. To evaluate the effectiveness of the proposed algorithm we use a commercial OCR software ARMI 6.0 to observe the recognition accuracies on the binarized images. The experimental results on word and character recognition show that the proposed approach is more accurate than conventional methods by over $35\%$.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.189-190
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• 2018

Digital content requires the concept and structure that give us insights into the languages between computers and humans and how humans experience manifested among the flow of characters, images, and voice. Communicology, $Vil{\acute{e}}m$ Flusser's original study, allows us to reconsider and to reconstruct the boundary of human awareness. This paper intends to begin understanding digital content consisting of numerical codes by reviewing communicology. communicology helps to break up pre-existing categories and thinking about new standards. ith the help of information technology. Planning content can be actualized by classifying and reconstructing content that are input/output of senses. The standard of classification is 'boundary' and 'direction,' communication elements that cannot be broken down any further. There is no need to communicate if there is no boundary. The operation of communication is comprised of 'direction.' Considering humankind as the standard, the boundary that takes in stimulation from outside can be seen as senses. Direction can be expressed as input/output. Output assumes that technical pictures receive information. The coordinates for various pre-existing platforms and content and uncovered platforms can be set with a consistent standard. This allows us to escape from the standard of flat content that was activated by sight and rationality at the ideology of characters, to seek a three-dimensional standard that can be vitalized by various senses and irrationality, and to reconstruct the input/output of senses to show the possibility of planning a new platform.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.10
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• pp.1991-2000
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• 1994

In this paper, an alagorithm with six types of classification is suggested for the recognition system of hand-written Korean characters. After thinning process and truncating process for noise redection. The input images are used generalized by $64\times64$ size. The six type classification is composed of preliminary and secondary classification process by using the learning algoritm of multi-layer perceptron. Subblock Hough transform is used as local feature and sampling Hough transform is used as global feature. Experiment is conducted for 1800 characters which is written 31 times per each type by 10 persons. The 90% recognition rate is resulted by the preliminary classification of detection the final consonant and by the secondary classification of detecting the vowels.

• Journal of Advanced Navigation Technology
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• v.11 no.3
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• pp.343-349
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• 2007

This paper addressed a recognition method of land registration map based on fuzzy inference scheme, which is able to solve the time complexity problem of typical method [Fig. 2]. Not only line color, thickness but also number, character are used as a fuzzy input parameter. It concentrated on generation of fuzzy association map, and useful informations are extracted result from fuzzy inference. These results are precedent process for estimating the construction space and restoring 3D automatic modeling. It can also utilize to the internet service acceleration propulsion business such as u-Gov based land registration service.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.67-70
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• 2013

스마트폰 보급은 현대인들에게 시간적, 공간적 제약에서 벗어나 언제 어디서나 무선 인터넷을 사용하여 모바일 뱅킹, 결재, 증권거래 등 원하는 서비스를 이용할 수 있게 해주었다. 사용자들은 이를 이용하여 다양한 정보들을 검색, 저장, 이용한다. 그러나 무선 인터넷의 순기능과는 반대로 최근 모바일 기기의 보안취약점을 이용한 악성애플리케이션 및 각종 공격으로 사용자 개인정보탈취의 위협이 증가하고 있다. 사회공학공격의 일종인 피싱(Phishing)은 신뢰받는 기관을 사칭하여 만들어놓은 가짜사이트에 사용자로부터 자신의 개인정보 및 금융정보를 입력하게끔 유도하여 사용자정보를 탈취하는 방법으로 최근 SMS를 이용하여 정부 및 금융기관을 사칭한 문자를 보내 피싱사이트로 접속을 유도하는 피해사례가 증가하고 있다. 본 논문에서는 국내 피싱사이트의 유형을 분석하고 피싱사이트로 접근을 유도하는 방법 중 하나인 SMS를 이용한 피싱을 방지 할 수 있는 시스템을 고안한다.