• 제목/요약/키워드: the template method

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A Revocable Fingerprint Template for Security and Privacy Preserving

  • Jin, Zhe;Teoh, Andrew Beng Jin;Ong, Thian Song;Tee, Connie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제4권6호
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    • pp.1327-1342
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    • 2010
  • With the wide deployment of biometric authentication systems, several issues pertaining security and privacy of the biometric template have gained great attention from the research community. To resolve these issues, a number of biometric template protection methods have been proposed. However, the design of a template protection method to satisfy four criteria, namely diversity, revocability and non-invertibility is still a challenging task, especially performance degradation when template protection method is employed. In this paper, we propose a novel method to generate a revocable minutiae-based fingerprint template. The proposed method consists of feature extraction from fingerprint minutiae pairs, quantization, histogram binning, binarization and eventually binary bit-string generation. The contributions of our method are two fold: alignment-free and good performance. Various experiments on FVC2004 DB1 demonstrated the effectiveness of the proposed methods.

가상 투영법을 사용한 Two-Stage Template Matching (Two-Stage Template Matching Using Integral Projection)

  • 김근형;박래홍
    • 대한전자공학회논문지
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    • 제24권2호
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    • pp.324-330
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    • 1987
  • The registration is an important part of image processing and pattern recognition. In this paper, the integral projection method is proposed as the first stage of the two-stage template matching. The computation time of the proposed method is one-tenth of that of the two-stage template matching technique with a sub-template. This method is applied to a noisy (real)image with a different bias level and gives a correct template position, while the two-stage template matching technique with a sub-template cannot detect correctly.

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A FAST TEMPLATE MATCHING METHOD USING VECTOR SUMMATION OF SUBIMAGE PROJECTION

  • Kim, Whoi-Yul;Park, Yong-Sup
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
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    • pp.171-176
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    • 1999
  • Template matching is one of the most often used techniques for machine vision applications to find a template of size M$\times$M or subimage in a scene image of size N$\times$N. Most template matching methods, however, require pixel operations between the template and the image under analysis resulting in high computational cost of O(M2N2). So in this thesis, we present a two stage template matching method. In the first stage, we use a novel low cost feature whose complexity is approaching O(N2) to select matching candidates. In the second stage, we use conventional template matching method to find out the exact matching point. We compare the result with other methods in terms of complexity, efficiency and performance. Proposed method was proved to have constant time complexity and to be quite invariant to noise.

AN OBJECT TRACKING METHOD USING ADAPTIVE TEMPLATE UPDATE IN IR IMAGE SEQUENCE

  • Heo, Pyeong-Gang;Lee, Hyung-Tae;Suk, Jung-Youp;Jin, Sang-Hun;Park, Hyun-Wook
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.174-177
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    • 2009
  • In object tracking, the template matching methods have been developed and frequently used. It is fast enough, but not robust to an object with the variation of size and shape. In order to overcome the limitation of the template matching method, this paper proposes a template update technique. After finding an object position using the correlation-based adaptive predictive search, the proposed method selects blocks which contain object's boundary. It estimates the motion of boundary using block matching, and then updates template. We applied it to IR image sequences including an approaching object. From the experimental results, the proposed method showed successful performance to track object.

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템플릿을 이용한 자동차 프리핸드 스케치의 3D 모델로 자동변환 (Template-based Automatic 3D Model Generation from Automotive Freehand Sketch)

  • 천상욱;한순흥
    • 한국CDE학회논문집
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    • 제12권4호
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    • pp.283-297
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    • 2007
  • Seamless data integration in the CAx chain of the CAD/CAPP/CAM/CNC has been achieved to a high degree, but research concerning the transfer of data from conceptual sketches to a CAD system should be carried out further. This paper presents a method for reconstructing a 3D model from a freehand sketch. Sketch-based modeling research can be classified into gestural modeling methods and reconstructional modeling methods. This research involves the reconstructional modeling method. Here, Mitani's seminal work, designed for box-shaped 3D model using a predefined template, is improved by leveraging a relational template and specialized for automotive design. Matching between edge graphs of the relational template and the sketch is formulated and solved as the assignment problem using the feature vectors of the edges. Including the stroke preprocessing method required to generate an edge graph from a sketch, necessary procedures and relevant techniques for implementing the template-based modeling method are described. Examples from a working implementation are given.

Location Template Matching(LTM) 방법에 사용되는 유사성 척도들의 비교 연구 (Comparative Study on the Measures of Similarity for the Location Template Matching(LTM) Method)

  • 신기홍
    • 한국소음진동공학회논문집
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    • 제24권4호
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    • pp.310-316
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    • 2014
  • The location template matching(LTM) method is a technique of identifying an impact location on a structure, and requires a certain measure of similarity between two time signals. In general, the correlation coefficient is widely used as the measure of similarity, while the group delay based method is recently proposed to improve the accuracy of the impact localization. Another possible measure is the frequency response assurance criterion(FRAC), though this has not been applied yet. In this paper, these three different measures of similarity are examined comparatively by using experimental data in order to understand the properties of these measures of similarity. The comparative study shows that the correlation coefficient and the FRAC give almost the same information while the group delay based method gives the shape oriented information that is best suitable for the location template matching method.

Location Template Matching(LTM) 방법에 사용되는 유사성 척도들의 비교 연구 (Comparative Study on the Measures of Similarity for the Location Template Matching (LTM) Method)

  • 신기홍
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 춘계학술대회 논문집
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    • pp.506-511
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    • 2014
  • The location template matching (LTM) method is a technique of identifying an impact location on a structure, and requires a certain measure of similarity between two time signals. In general, the correlation coefficient is widely used as the measure of similarity, while the group delay based method is recently proposed to improve the accuracy of the impact localization. Another possible measure is the frequency response assurance criterion (FRAC), though this has not been applied yet. In this paper, these three different measures of similarity are examined comparatively by using experimental data in order to understand the properties of these measures of similarity. The comparative study shows that the correlation coefficient and the FRAC give almost the same information while the group delay based method gives the shape oriented information that is best suitable for the location template matching method.

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프로파일링 단계에서 파형 선별을 통한 템플릿 공격의 성능 향상 (Power Trace Selection Method in Template Profiling Phase for Improvements of Template Attack)

  • 진성현;김태원;김희석;홍석희
    • 정보보호학회논문지
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    • 제27권1호
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    • pp.15-23
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    • 2017
  • 템플릿 공격은 공격 대상 장비와 동일한 테스트 장비를 보유한 경우에 수행할 수 있는 강력한 부채널 분석 방법이다. 템플릿 공격은 테스트 장비를 이용하여 비밀정보에 대한 템플릿을 구성하는 프로파일링 단계와 공격 대상 장비에서 수집한 전력 파형을 템플릿과 비교하여 비밀정보를 찾는 매칭 단계로 구성된다. 템플릿 공격의 성능을 향상시키는 방법 중 하나는 가우시안 분포에 대한 템플릿의 추정을 향상시키는 것이다. 그러나 프로파일링 단계에서 각 중간값에 대한 템플릿을 계산할 때 사용되는 전력 파형의 수가 제한된다면 템플릿 계산이 부정확해진다. 본 논문에서는 프로파일링 단계에서 템플릿을 계산하기 위해 사용하는 파형의 수가 제한될 때 노이즈 파형으로 간주되는 전력 파형을 제거하는 방법론을 제시한다. 제시한 방법론에 따라 노이즈로 간주되는 전력 파형을 제외하여 템플릿을 구성할 경우에 템플릿 추정의 정확도가 향상되어 템플릿 공격의 성능이 향상된다. 또한 본 논문에서는 실험을 통해 템플릿 공격의 성능이 향상됨을 보임으로써 제시한 방법론이 타당함을 증명한다.

Effect of Template Removal on Synthesis of Organic-Inorganic Hybrid Mesoporous MCM-48

  • Zhao, Ya Nan;Li, San Xi;Han, Chong-Soo
    • Bulletin of the Korean Chemical Society
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    • 제33권10호
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    • pp.3196-3202
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    • 2012
  • Post-synthesis is used to synthesize organic hybrid inorganic mesoporous sieves. In this method, the activity and structure of the base sieve are crucial to obtain the definable hybrid materials. The chemical and physical properties of the base can be largely changed either by the final step of its synthesizing processes, by template removal which is accomplished with the oxidative thermal decomposition (burning) method or by solvent extraction method. In this paper we compared two methods for the post-synthesis of organic hybrid MCM-48. When the template was extracted with HCl/alcohol mixture, the final product showed larger pore size, larger pore volume and better crystallinity compared to the case of the thermal decomposition. The reactivity of the surface silanol group of template free MCM-48 was also checked with an alkylsilylation reagent $CH_2=CHSi(OC_2H_5)_3$. Raman and $^{29}Si$ NMR spectra of MCM-48 in the test reaction indicated that more of the organic group was grafted to the surface of the sample after the template was removed with the solvent extraction method. Direct synthesis of vinyl-MCM-48 was also investigated and its characteristics were compared with the case of post-synthesis. From the results, it was suggested that the structure and chemical reactivity can be maintained in the solvent extraction method and that organic grafting after the solvent extraction can be a good candidate to synthesize a definable hybrid porous material.

형판 벡터와 신경망을 이용한 감성인식 (Emotion Recognition Using Template Vector and Neural-Network)

  • 주영훈;오재흥
    • 한국지능시스템학회논문지
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    • 제13권6호
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    • pp.710-715
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    • 2003
  • 본 논문에서는 사람의 식별과 감정을 인식하기 위한 새로운 방법을 제안한다. 제안된 방법은 색차 정보에 의한 형판의 위치 인식과 형판 벡터 추출에 기반 한다. 단일 색차 공간만을 이용할 경우 피부색 영역을 정확히 추출하기 힘들다. 이를 보완하기 위해서 여러 가지 색차 공간을 병행하여 피부색 영역을 추출하며, 이를 응용하여 각각의 형판을 추출하는 방법을 제안한다. 그리고, 사람의 식별과 감정 인식을 위해서 추출된 형판에 대한 각각의 특징 벡터를 신경회로망을 이용하여 학습하여 사용한다. 마지막으로, 제안된 방법은 실제 실험을 통하여 그 가능성을 보인다.