• 제목/요약/키워드: Identity Recognition

검색결과 322건 처리시간 0.023초

문화관광지의 문화정치와 정체성의 사회적 구성 -일본 훗카이도 오타루의 재해석, 제도화, 재인식- (Cultural Politics and Social Construction of Cultural Tourist Destinations: Reinterpretation, Institutionalization and Recognition of Otaru in Japan)

  • 조아라
    • 대한지리학회지
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    • 제44권3호
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    • pp.240-259
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    • 2009
  • 이 연구는 일본사회적 맥락 속에서 지방도시가 관광을 통해 새롭게 창조됨을 밝히고, 지역의 의미가 사회적으로 형성되는 과정을 고찰함으로써, 문화관광지의 지역정체성이 사회적으로 구성되는 프로세스를 밝히는 것을 목적으로 하였다. 구체적으로, 첫째, 문화관광지의 사회적 구성에 대한 개념틀을 '재해석', '제도화', '재인식' 단계로 제안하였다. 둘째, 일본 지방도시 오타루의 운하보존운동과 역사관광지화에 대한 사례 연구를 통해 문화관광지의 사회적 구성 과정 단계에 대한 심층적 분석을 시도하였다. 셋째, 지역 정체성이 재구성되는 과정에서 작동하고 있는 주된 메커니즘에 대해 체계적으로 고찰하였다. 결론적으로, 지역이 정체성의 정치를 통해 새롭게 재해석되며, 경제적 동기로 인해 그 의미가 수정되고 타협되며 제도화된다는 것을 밝히고, 기억의 정치를 통해 구성된 진정성으로 확립되면서 끊임없이 재구성된다는 점을 제안하였다.

장소를 인식하는 이미지 평가항목에 대한 중요도 분석 (Importance Analysis of Image Evaluation Items that Recognize Places)

  • 이임정;김광수;김민석
    • 한국농촌건축학회논문집
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    • 제24권3호
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    • pp.1-11
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    • 2022
  • Purpose: This place, which is currently becoming an issue due to historical preservation and landscape protection, is also a place where urban residents around Taereung actually visit often. Thus, this study aims to analyze the importance of the evaluating factors in creating a relatable image of the city. Methods: Evaluation items were selected by reviewing related books and research literatures and reassessing the reviewed items through an expert group interview (FGI). For the selected evaluation items, the relative importance of the evaluation items for the place image was analyzed by applying the hierarchical analysis technique (AHP) to each user group. Result: A place becomes a memory in people's experiences and time, and it has the image and identity of the region where those experiences and memories are found again as a space called "place". The method of analyzing the importance of evaluation items between place images used in this study quantified the factors recognized as abstract images and identified the degree of influence between elements, but has limitation in that it targeted specific places. However, the analysis method on the place image recognition suggests the use of itemized variables for characteristics between place images, so future research on the identity of other place images can be conducted together. Also, the evaluation method of the image that recognizes the place has an objective meaning in that it can measure the image of the place quantitatively. In the future, it can be applied in creating an image forming factor or urban identity for place recognition in many regions

결합 신경망을 이용한 여권 MRZ 정보 인식 (Recognition of Passport MRZ Information Using Combined Neural Networks)

  • 김진호
    • 디지털산업정보학회논문지
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    • 제15권4호
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    • pp.149-157
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    • 2019
  • In case of reading passport using a smart phone in contrast with a dedicated passport reading system, MRZ(Machine Readable Zone) character recognition can be hard when the character strokes were broken, touched or blurred according to the lighting condition, and the position and size of MRZ character lines were varied due to the camera distance and angle. In this paper, the effective recognition algorithm of the passport MRZ information using a combined neural network recognizer of CNN(Convolutional Neural Network) and ANN( Artificial Neural Network), is proposed under the various sized and skewed passport images. The MRZ line detection using connected component analysis algorithm and the skew correction using perspective transform algorithm are also designed in order to achieve effective character segmentation results. Each of the MRZ field recognition results is verified by using five check digits for deciding whether retrying the recognition process of passport MRZ information or not. After we implement the proposed recognition algorithm of passport MRZ information, the excellent recognition performance of the passport MRZ information was obtained in the experimental results for PC off-line mode and smart phone on-line mode.

Improving Indentification Performance by Integrating Evidence From Evidence

  • Park, Kwang-Chae;Kim, Young-Geil;Cheong, Ha-Young
    • 한국정보전자통신기술학회논문지
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    • 제9권6호
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    • pp.546-552
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    • 2016
  • We present a quantitative evaluation of an algorithm for model-based face recognition. The algorithm actively learns how individual faces vary through video sequences, providing on-line suppression of confounding factors such as expression, lighting and pose. By actively decoupling sources of image variation, the algorithm provides a framework in which identity evidence can be integrated over a sequence. We demonstrate that face recognition can be considerably improved by the analysis of video sequences. The method presented is widely applicable in many multi-class interpretation problems.

지문 Pattern 인식 Algorithm (Fingerprint Pattern Recognition Algorithm)

  • 김정규;김봉일
    • 대한원격탐사학회지
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    • 제3권1호
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    • pp.25-39
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    • 1987
  • The purpose of this research is to develop the Automatic Fingerprint Verfication System by digital computer based on specially in PC level. Fingerprint is used as means of personal identity verification in view of that it has the high reliability and safety. Fingerprint pattern recognition algorithm is constitute of 3 stages, namely of the preprocessing, the feature extraction and the recognition. The preprocessing stage includes smoothing, binarization, thinning and restoration. The feature extraction stage includes the extraction of minutiae and its features. The recognition stage includes the registration and the matching score calculation which measures the similarity between two images. Tests for this study with 325 pairs of fingerprint resulted in 100% of separation which which in turn is turned out to be the reliability of this algorithm.

Study On Masked Face Detection And Recognition using transfer learning

  • Kwak, NaeJoung;Kim, DongJu
    • International Journal of Advanced Culture Technology
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    • 제10권1호
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    • pp.294-301
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    • 2022
  • COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

Recognition of Designer's role between Designers and Non-designers

  • Kang, Bum-Kyu
    • International Journal of Contents
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    • 제7권4호
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    • pp.84-89
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    • 2011
  • General recognition on the role of a designer has differently changed according to the age and region respectively. This research has clarified general recognition on a designer's role among a designer, experts that designers mainly perform co-work and an ordinary people in a period when the design identity is more confused than any other time. The results of this research are as follows. First, the 13 definitions on a role of a designer in a company were identified through field interview survey by presidents and practical responsible persons in design-specialized companies. Second, it was proved whether there is a difference in recognition on a role of a designer between designers and non-designers. Third, this research divided a group of non-designers into two groups such as a design job-related group mainly performing co-work with designer, and an ordinary people's group that doesn't major design. After that, this research found out the most sympathizing definition on a role of a designer at a company in three groups divided into a designer's group, a design job-related group and an ordinary people's group. The awareness on the role of designer was more objectively regulated three-dimensionally in all aspects of a designers group and a non-designers group. In addition, the findings of recognition difference of each group on a designer's role will help comprehensive understanding on each experts group and an ordinary people. The findings of the research will help in performing co-work of designers and non-designers in design decisionmaking based on understanding of this recognition.

중국 수출확대를 위한 한국 농식품 브랜드 아이덴티티 정립 (A Study of Korean Agri-Food Brand Identities for Expanding Exports to China)

  • 안욱현;조우철;김창환
    • 유통과학연구
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    • 제12권2호
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    • pp.7-16
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    • 2014
  • Purpose - The purpose of this study is to target Chinese consumers of Korean agri-food through the analysis of agri-food brand identity images to set future directions for proposed agri-food exports to China. Since negotiations began for a free trade agreement (FTA) between Korea and China, some Koreans have worried about the Korean agriculture sector. The world trading system has undergone many changes in recent years. Since the start of FTA negotiations on agriculture, China and Korea have faced a heightened sense of crisis. China is trying to export agricultural products so actively that its agricultural exports could increase by more than 7% annually. China exported about one-tenth of its agricultural products to Korea in the period 2002-2010. Recently, the importance of brand identity has tended to increase, as the world becomes one unified market. In this situation, we should try to promote agri-food exports to China. It is very important to understand consumers' recognition of Korean food and the image of the Korean agri-food industry, to establish an export strategy. Research design, data, and methodology - This study targeted 2,800 adult men and women aged 25-59 years living in four major cities in China (Beijing, Shanghai, Guangzhou, and Qingdao) with a household income within the top 10% level in the China, using the one-to-one interview survey method. In addition, four groups by region (eight people per group) for a total of 32 groups were surveyed by using the focus group interview (FGI) research method, and impressions of imported agri-food were surveyed using 17 questions about fresh agri-food and 22 questions on processed agri-food. Factor analysis, brand positioning, biplot analysis, and so on, were carried out based on the results of these surveys. This research presents the brand identity of Korean food; according to the analyses, the brand identity is based on trust, safety, and attractiveness. Result - Factor analysis results showed that Chinese consumers expect four major qualities in imported fresh agri-food: freshness/safety, attractive appearance, premium branding, and excellent taste/quality. In the case of processed agri-food, it turned out that Chinese consumers are focused on safety/hygiene/freshness, health, and taste. In addition, in the fresh agri-food analysis by country, American foods had the upper hand; the image of American foods was also recognized as the most positive for processed agri-food. Meanwhile, according to the biplot analysis, Korean agri-food is strongly preferred for its appearance, but no country is strongly preferred as regards the level of freshness/safety that is expected by Chinese consumers. Conclusions - In this study, we analyzed the image of imported agri-food expected by Chinese consumers by reconstructing agri-food characteristics from the brand perspective. The research result shows that a Korean brand identity must be the ultimate goal for activities undertaken to enhance the image of Korean agri-food in the future. Additional research is needed because brand image can be formed through various channels.

웨이브렛 변환과 LVQ를 이용한 홍채인식 시스템 (Human Iris Recognition System using Wavelet Transform and LVQ)

  • 이관용;임신영;조성원
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권7호
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    • pp.389-398
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    • 2000
  • The popular methods to check the identity of individuals include passwords and ID cards. These conventional method for user identification and authentication are not altogether reliable because they can be stolen and forgotten. As an alternative of the existing methods, biometric technology has been paid much attention for the last few decades. In this paper, we propose an efficient system for recognizing the identity of a living person by analyzing iris patterns which have a high level of stability and distinctiveness than other biometric measurements. The proposed system is based on wavelet transform and a competitive neural network with the improved mechanisms. After preprocessing the iris data acquired through a CCD camera, feature vectors are extracted by using Haar wavelet transform. LVQ(Learning Vector Quantization) is exploited to classify these feature vectors. We improve the overall performance of the proposed system by optimizing the size of feature vectors and by introducing an efficient initialization of the weight vectors and a new method for determining the winner in order to increase the recognition accuracy of LVQ. From the experiments, we confirmed that the proposed system has a great potential of being applied to real applications in an efficient and effective way.

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서울의 도시경관 이미지 분석 및 시각화 방법 : 한국인과 일본인의 인식차이를 중심으로 (Method of the Analysis and the Visualization of Urban Landscape in Seoul : Focus on the Difference of Cognitions between Korean and Japanese)

  • 김정섭;이규황
    • 한국콘텐츠학회논문지
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    • 제12권10호
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    • pp.148-158
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    • 2012
  • 글로벌화라는 세계적인 흐름 속에 각국의 도시들은 각 도시의 인지도와 이미지를 제고시키기 위해 도시경관의 정체성을 확립하고자 노력을 기울이고 있으며 이러한 흐름 속에 서울도 도시경관의 정체성을 확보하기 위한 다양한 연구가 진행되고 있다. 그러나 일부 도시경관의 문제점 파악과 그 개선방향에 대한 연구가 주류를 이루고 있어 현재 구축된 도시경관 자체의 정체성을 확보하는 연구는 아직 미진한 실정이다. 이에 본 연구에서는 인터넷 설문조사를 수행하여 인지도 및 인식 차이를 기반으로 도시경관을 분석하고 이를 시각화하는 분석틀을 제안한다. 본 분석틀의 가장 핵심이 되는 도시경관에 대한 인식 및 인지도 차이 분석은 설문조사의 응답에서 추출한 정답률과 명답률에 의해 이루어지며 시각화는 이들의 상관관계를 통해 도출되는 정확률을 도식화하는 방법으로 수행된다.