• Title/Summary/Keyword: smearing

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Recognition of the Passport by Using Fuzzy Binarization and Enhanced Fuzzy Neural Networks

  • Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.603-607
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    • 2003
  • The judgment of forged passports plays an important role in the immigration control system, for which the automatic and accurate processing is required because of the rapid increase of travelers. So, as the preprocessing phase for the judgment of forged passports, this paper proposed the novel method for the recognition of passport based on the fuzzy binarization and the fuzzy RBF neural network newly proposed. first, for the extraction of individual codes being recognized, the paper extracts code sequence blocks including individual codes by applying the Sobel masking, the horizontal smearing and the contour tracking algorithm in turn to the passport image, binarizes the extracted blocks by using the fuzzy binarization based on the membership function of trapezoid type, and, as the last step, recovers and extracts individual codes from the binarized areas by applying the CDM masking and the vertical smearing. Next, the paper proposed the enhanced fuzzy RBF neural network that adapts the enhanced fuzzy ART network to the middle layer and applied to the recognition of individual codes. The results of the experiment for performance evaluation on the real passport images showed that the proposed method in the paper has the improved performance in the recognition of passport.

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Numerical Investigation of Anti-Diffusion Source Term for Free-Surface Wave Flow

  • Park, Sunho;Lee, Heebum;Rhee, Shin Hyung
    • Journal of Advanced Research in Ocean Engineering
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    • v.2 no.2
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    • pp.48-60
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    • 2016
  • Accurate simulation of free-surface wave flows around a ship is very important for better hull-form design. In this paper, a computational fluid dynamics (CFD) code which is based on the open source libraries, OpenFOAM, was developed to predict the wave patterns around a ship. Additional anti-diffusion source term for minimizing a numerical diffusion, which was caused by convection differencing scheme, was considered in the volume-fraction transport equation. The influence of the anti-diffusion source term was tested by applying it to free-surface wave flow around the Wigley and KCS model ships. In results, the wave patterns and hull wave profiles of the Wigley and KCS model ships for various anti-diffusion coefficients showed quite close patterns. While, the band width of the water volume-fraction values between 0.1 to 0.9 at the Wigley and KCS model hull surfaces was narrowed by considering the anti-diffusion term. From the results, anti-diffusion source term decreased free-surface smearing.

Passport Recognition using Fuzzy Binarization and Enhanced Fuzzy RBF Network

  • Kim, Kwang-Baek
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.222-227
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    • 2004
  • Today, an automatic and accurate processing using computer is essential because of the rapid increase of travelers. The determination of forged passports plays an important role in the immigration control system. Hence, as the preprocessing phase for the determination of forged passports, this paper proposes a novel method for the recognition of passports based on the fuzzy binarization and the fuzzy RBF network. First, for the extraction of individual codes for recognizing, this paper targets code sequence blocks including individual codes by applying Sobel masking, horizontal smearing and a contour tracking algorithm on the passport image. Then the proposed method binarizes the extracted blocks using fuzzy binarization based on the trapezoid type membership function. Then, as the last step, individual codes are recovered and extracted from the binarized areas by applying CDM masking and vertical smearing. This paper also proposes an enhanced fuzzy RBF network that adapts the enhanced fuzzy ART network for the middle layer. This network is applied to the recognition of individual codes. The results of the experiments for performance evaluation on the real passport images showed that the proposed method has the better performance compared with other approaches.

Development of Automatic Smear Equipment for Measuring Surface Radioactivity Contamination (표면방사선 오염도 측정용 자동 스미어장치의 개발)

  • Tack, Han-Ho;Kang, Shin-Chool
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.4
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    • pp.37-44
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    • 2011
  • This paper was development of surface contamination automatic smear sampling for measuring radioactive contamination in radiation controlled area of nuclear facility. In indirect method a smear paper are used manually. Activity on the smear paper is affected by varying the pressures applied, by the smearing time, by the difference of ares sampled during smearing. By means of these there are erroneous. In the future the apparatus will be developed as a portable apparatus measuring smear activity automatically by adding radiation detection instrument.

Hierarchical Recognition of English Calling Card by Using Multiresolution Images and Enhanced RBF Network (다해상도 영상과 개선된 RBF 네트워크를 이용한 계층적 영문 명함 인식)

  • Kim, Kwang-Baek;Kim, Young-Ju
    • The KIPS Transactions:PartB
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    • v.10B no.4
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    • pp.443-450
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    • 2003
  • In this paper, we proposed the novel hierarchical algorithm for the recognition of English calling cards that processes multiresolution images of calling cards hierarchically to extract individual characters and recognizes the extracted characters by using the enhanced neural network method. The hierarchical recognition algorithm generates multiresolution images of calling cards, and each processing step in the algorithm selects and processes the image with suitable resolution for lower processing overhead and improved output. That is, first, the image of 1/3 times resolution, to which the horizontal smearing method is applied, is used to extract the areas including only characters from the calling card image, and next, by applying the vertical smearing and the contour tracking masking, the image of a half time resolution is used to extract individual characters from the character string areas. Lastly, the original image is used in the recognition step, because the image includes the morphological information of characters accurately. And for the recognition of characters with diverse font types and various sizes, the enhanced RBF network that improves the middle layer based on the ART1 was proposed and applied. The results of experiments on a large number of calling card images showed that the proposed algorithm is greatly improved in the performance of character extraction and recognition compared with the traditional recognition algorithms.

The Number of Chromosomes of Wild Mulberry Silkworm, Bombyx mori, in Korea (한국산 멧누에의 염색제수(예보))

  • 성수일;김철명
    • Journal of Sericultural and Entomological Science
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    • v.29 no.2
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    • pp.82-83
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    • 1987
  • The number of chromosomes of the wild mulberry silkworm, Bombyx mandarina, collected in Suwon area in the middle part of Korean peninsula was investigated. The chromosomes were examined after smearing and squashing the testis of the last instar larvae which were at spining stage and the microscopic observation showed that the number of chromosomes of the wild mulberry silkworm was 27.

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Passports Recognition Using ART2-Based RBF Network (ART2 기반 RBF 네트워크를 이용한 여권 인식)

  • Kim Kwang-Baek;Oh Am-Suk
    • Journal of Korea Multimedia Society
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    • v.8 no.5
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    • pp.700-706
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    • 2005
  • The immigration control system authorizes the immigration of travelers by means of passport inspections such as the judgment of forged passports, the search for a wanted criminal or a person disqualified for immigration, etc. The judgment of forged passports plays an important role in the immigration control system. Therefore, as the pre-phase for the judgment of forged passports, this paper proposed a novel method for the recognition of passport using ART2-based RBF network. The proposed method extracts the area of code and individual codes by applying the Sobel masking, the smearing and the contour tracking algorithm in turn to the passport image. This paper proposed the RBF network that applies the ART2 algorithm to the middle layer, and applied the enhanced RBF network to the recognition of individual codes. The results of the experiments for performance evaluation on the real passport images showed that the proposed method has the better performance compared with other approaches.

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The Passport Recognition by Using Smearing Method and Fuzzy ART Algorithm (스미어링 기법과 퍼지 ART 알고리즘을 이용한 여권 인식)

  • 류재욱;김광백
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.37-42
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    • 2002
  • 현행 출입국 관리는 사용자가 여권을 제시하면, 여권을 육안으로 검색하고 수작업으로 정보를 입력하여 여권의 데이터 베이스와 대조하였다. 이러한 종래의 출입국 관리 시스템은 출입국 심사 시간이 길어 출입국자에 불편을 제공하고 출입국 부적격자에 대한 정확한 검색이 이루어지지 않아 체계적으로 관리하기가 어려웠다. 이리한 종래의 문제점을 개선하기 위해 영상 처리와 문자 인식을 이용한 여권 인증 시스템을 제안한다. 된 논문에서는 여권 영상에 대해 소벨 연산자와 스미어링 기법 그리고 윤곽선 추적 알고리즘을 이용하여 사진영역, 코드 영역 및 개별 코드 문자를 추출하고 개별 코드 문자 인식은 기존의 퍼지 ART를 개선하여 적용한다. 다양한 국내 여권 영상에 대해 제안된 여권 인식 방법을 실험한 결과, 제안된 방법이 여권 인식에 우수한 성능을 보였고 개선된 퍼지 ART 알고리즘이 기존의 퍼지 ART 알고리즘보다 클러스터 수가 적게 생성되고 인식률도 향상된 것을 확인하였다

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고해상도 위성카메라의 선형운동에 의한 영상번짐 해석

  • 장홍술
    • Bulletin of the Korean Space Science Society
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    • 2003.10a
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    • pp.103-103
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    • 2003
  • 공간해상도가 높고 영상 신호량의 증가를 위해 TDI(time delay and integration) 방식의 센서를 이용하는 저궤도 위성카메라의 경우 지구의 자전효과나 위성의 자세 불안정 등으로 인해 촬영된 영상의 퍼짐현상(smearing)이 나타난다. 본 연구에 따르면 선형운동에 의한 결과로 발생하는 영상퍼짐은 위성의 자세제어 특성 뿐 만 아니라 위성의 궤도 특성과 TDI 단계, 지상 촬영 지점의 위도 및 경사촬영 각도에 의해 결정되며 다목적 실용위성 2호(KOMPSAT2)의 탑재카메라를 실례로 살펴본 해상도 1m급의 태양동기궤도 위성의 경우 별도의 보정 과정이 없을 경우 영상의 퍼짐이 심각한 것으로 나타난다. 주된 원인은 지구의 자전효과이며 영상퍼짐의 정도는 위성 직하점의 위도에 따라 변하고 카메라의 경사촬영 각도와는 연관성이 작은 것으로 나타난다. 또한 촬영전에 자세제어를 이용해 카메라의 Yaw축 각도를 조정할 경우 영상퍼짐현상이 현저히 감소함을 보여준다.

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A Simulation of Flame-Vortex Interaction considering the Alteration of Vortex by Flame (와동의 변화를 고려한 화염-와동 상호 작용 모사)

  • Kang, Ji-Hoon;Kwon, Se-Jin
    • 한국연소학회:학술대회논문집
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    • 2000.05a
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    • pp.189-196
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    • 2000
  • A numerical simulation was conducted to analyze the interaction of flame and vortices. The characteristic scales of flame and vortices were limited in the thin laminar flamelet regime. Within this regime, flame is assumed as discontinuity surface and its motion in flow field was described by G-equation instead of full governing equations. Additional approximations include distribution of line volume sources on flame surface to simulate effect of volume expansion. Contrast to previous calculations, current study employed vortex transport equation to evaluate attenuation and smearing of vortices. Two extreme conditions of frozen vortex and frozen flame were considered to validate the current method. Comparison with direct numerical simulation resulted in satisfactory quantitative agreement with higher computational efficiency which warrants the usefulness of the present model in more complex situation.

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