• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.1006-1009
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• 2003

In this paper, we propose a technique of the recognition of partial face. Most of the research is concentrated on the recognition of whole face Since part of the face area in an image can be damaged or overlapped, face recognition based on partial face is required. PCA and LDA technique is applied to the recognition of partial face. Also, a new method to combine the results of the recognition of parts of the face.

• 융합정보논문지
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• 제7권2호
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• pp.77-82
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• 2017

본 논문은 차량영상을 입력영상으로 받아 차량의 종류를 인식하는 보안 알고리즘을 연구한다. 차량 인식 보안 알고리즘은 영상입력, 배경제거, 에지영역 추출, 전처리(이진화), 차량인식 등의 5가지 핵심부분으로 구성된다. 그러므로 차량 종류 인식 보안 알고리즘의 최종 인식율은 각 단계의 역할 및 기능에 직간접적인 영향을 받는다. 영상을 그레이 스케일 이미지로 입력시킨 후 배경을 제거하고, 에지영역만 추출한 후 이진화를 거친다. 외곽선을 또렷하게 해주기 위한 전처리 과정을 거친 후 차량의 높이와 넓이의 비율을 통해 차량의 종류를 대형차, 승용차, 오토바이의 3가지 범주로 나누게 했다.

• 한국항만학회지
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• 제13권2호
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• pp.303-312
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• 1999

The automated gate operating system is developed in this paper that controls the information of container at gate in the ACT. This system can be divided into three parts and consists of container identifier recognition car plate recognition container deformation perception. We linked each system and organized efficient gate operating system. To recognize container identifier the preprocess using LSPRD(Line Scan Proper Region Detection)is performed and the identifier is recognized by using neural network MBP When car plate is recognized only car image is extracted by using color information of car and hough transform. In the port of container deformation perception firstly background is removed by using moving window. Secondly edge is detected from the image removed characters on the surface of container deformation perception firstly background is removed by using moving window. Secondly edge is detected from the image removed characters on the surface of container. Thirdly edge is fitted into line segment so that container deformation is perceived. As a results of the experiment with this algorithm superior rate of identifier recognition is shown and the car plate recognition system and container deformation perception that are applied in real-time are developed.

• 한국지능시스템학회논문지
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• 제16권4호
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• pp.449-453
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• 2006

본 논문은 시설물의 효율적인 유지보수 관리를 위해 이미지 도면의 부품정보를 효율적으로 활용할 수 있는 방안을 제시한다. 시설물 설계 도면에는 시설물을 구성하는 부품에 대한 정보가 표현되어 있고, 각 부품을 구분하기 위해 레전드 문자가 표기되어 있다. 본 논문은 이미지 도면의 레전드 문자 인식을 위해 인공지능 기법을 적용한다. 마지막으로, 본 논문에서 제안한 방법의 효율성을 평가하기 위해 인공지능기법을 도면관리시스템에 적용한다.

• 센서학회지
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• 제33권3호
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• pp.179-184
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• 2024

In the car industry, welding is a fundamental linking technique used for joining components, such as steel, molds, and automobile parts. However, accurate inspection is required to test the reliability of the welding components. In this study, we investigate the detection of weld beads using 2D image processing in an automatic recognition system. The sample image is obtained using a 2D vision camera embedded in a lighting system, from where a portion of the bead is successfully extracted after image processing. In this process, the soot removal algorithm plays an important role in accurate weld bead detection, and adopts adaptive local gamma correction and gray color coordinates. Using this automatic recognition system, geometric parameters of the weld bead, such as its length, width, angle, and defect size can also be defined. Finally, on comparing the obtained data with the industrial standards, we can determine whether the weld bead is at an acceptable level or not.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.1025-1031
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• 2000

Pre-existing pattern recognition techniques, in the case of character recognition, have limited on the application field. But CAI character learning system and writer's recognition system are very important parts. The application field of pre-existing system can be expanded in the content that the learning of characters and the recognition of writers in the proposed paper. In order to achieve these goals, the development contents are the following: Firstly, pre-processing method by understanding the image structure is proposed, secondly, recognition of characters are accomplished b the histogram distribution characteristics. Finally, similarity measure functions are defined from standard character pattern for matching of the input character pattern. Also the effectiveness of this system is demonstrated by experimenting the standard primitive image.

• 패션비즈니스
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• 제11권2호
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• pp.145-154
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• 2007

The purpose of this study is to analyze University Woman Students' recognition of their physical bodies and the effects that their recognition has on their image and satisfaction of their physical bodies. The result of study is as follows. 1) According to the result of the analysis of the difference between University Woman Students students' practical physical sizes and ideal sizes, it was showed that their heights and burst should be larger than their practical physical sizes but their waist, hip, and weight should be reduced.2) According to the result of the analysis of the factors for the evaluation of University Woman Students students' behavioral body images, Factor I was 'Management of Appearance', factor II was 'Management of Weight' and Factor III was 'Satisfaction of Appearance'. Considering the result of correlation of factors of the body images, it was showed that the more interest they had on their appearances, the more management they had on their weights. 3) They had comparatively positive recognition on their physical bodies. However, regarding their degrees of the satisfactions on their physical parts, they showed somewhat dissatisfaction on all the items of their physical parts. 4) According to the result of the analysis of the correlation between their recognition of the physical types and their satisfaction of them, it was showed that they had more satisfactions when their heights were higher and their weights were lighter. In addition, it was showed that they had more satisfaction when they had larger busts and regarding their waists, hips, upper arms, lower arms, wrists, thighs, and calf measurements, they had more satisfactions when they had thinner ones and regarding their shoulders' measurements, it was showed that they had more satisfactions when they had narrower shoulders' measurements.

• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.229-242
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• 2005

우리는 스캔된 한글 문서 영상에 대한 전문(full-text) 검색 시스템을 구축하였다. 이 시스템은 크게 전처리부, 인식부, 그리고 검색부로 구성되어 있다 검색 알고리즘은 k순위까지의 인식 결과를 이용한다. 이 방법은 검색 성능이 인식 오류에 둔감할 뿐만 아니라, 재현률과 정확률을 사용자가 조절할 수 있는 장점을 갖는다. 객관적인 성능 평가를 위해 KISTI가 제공하는 정보과학회 논문지 영상을 실험에 사용하였다. 인식과 검색 성능을 통하여 시스템이 실용적임을 보였다.

• 한국산업융합학회 논문집
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• 제17권2호
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• pp.77-83
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• 2014

This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.

• 한국산업융합학회 논문집
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• 제16권4호
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• pp.113-117
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• 2013

This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.