• 대한전자공학회논문지SP
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• 제40권4호
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• pp.256-265
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• 2003

지문을 기반으로 하는 생체 인식 시스템이 보다 실용적이고 높은 신뢰성을 가지기 위해서는, 입력지문의 회전에 강인해야 할뿐만 아니라 검증이나 인식에 소요되는 응답 시간이 짧아야 한다. 따라서 본 논문에서는 회전에 강인할 뿐만 아니라 처리속도가 빠른 방향성 필터 뱅크 기반의 지문 특징 추출 및 정합 방법을 제안한다. 제안한 방법은 영상을 방향별 대역 영상으로 효과적으로 분해해 주는 방향성 필터 뱅크를 이용하여 지문 패턴의 특징을 빠른 속도로 추출할 뿐만 아니라 특징 벡터 간 유클리드 거리에 기반하여 정합을 수행하기 때문에 전체 응답 속도가 매우 빠르다. 회전에 대해 강인한 특성을 가지도록 하기 위해 방향성 필터 뱅크에 의해 분해된 대역 영상에서 다양한 회전을 고려한 특징 백터 집합을 구성한 다음 등록된 단일템플릿 특징 백터와 정합을 수행한다. 실험 결과 제안한 방법이 기존의 방법 중 선두적인 방법 중의 하나인 Gabor 필터 뱅크 기반 방법에 상응하는 정확도를 가지면서 훨씬 빠른 속도로 검증을 수행할 뿐만 아니라 회전에 강인한 특성을 가짐을 보여 주었다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 추계학술대회 논문집
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• pp.398-398
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• 2009

본 논문에서는 카메라의 원근감을 이용하여 케이블의 모드형상을 추출하는 과정을 제안한다. 제안 기법을 검증하기 위해 디지털 카메라와 캠코더를 이용하여 서로 다른 위치에서 동일 화면을 동시에 촬영하고, 촬영된 영상을 사진 변환프로그램을 통해서 초당 30프레임으로 영상이미지를 추출해 낸다. 추출된 좌.우 영상이미지의 영상좌표를 이용하여 케이블에 부착된 표적의 3차원 위치를 결정한다. 이때 디지털 카메라와 캠코더간의 위치 및 자세는 제안된 종속적 상호표정 방법을 통하여 결정한다. 결정된 케이블의 시간이력으로부터 고유진동수과 감쇠비는 다중 템플릿 매칭 알고리즘(multi-template matching algorithm)기법으로 추출하고, 모드형상은 TDD(Time Domain Decomposition)기법을 통하여 추출한다.

• 정보통신설비학회논문지
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• 제11권1호
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• pp.23-28
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• 2012

In this paper, we proposed and developed a fast and efficient real time face detection and recognition which can be run on embedded system instead of high performance desktop. In the face detection process, we detect a face by finding eye part which is one of the most salient facial features after applying various image processing methods, then in the face recognition, we finally recognize the face by comparing the current face with the prepared face database using a template matching algorithm. Also we optimized the algorithm in our system to be successfully used in the embedded system, and performed the face detection and recognition experiments on the embedded board to verify the performance. The developed method can be applied to automatic door, mobile computing environment and various robot.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1249-1253
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• 2003

License plate recognition is very important in an automobile society. This is because, since plate detection accuracy has large influence on subsequent number recognition, it is very important. However, it is very difficult to do it, because a background and a body color of cars are similar to that of the license plate. In this paper, we propose a new thresholds determination method in the various background by using the real-coded genetic algorithm (RGA). By using RGA, the most likely plate colors are decided under various lighting conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds)are obtained by RGA. The relationship between thresholds decided from RGA and brightness average is aproximate by using the recursive least squares (RLS) algorithm. In the case of plate detection, thresholds are decided from these functions.

• 제어로봇시스템학회논문지
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• 제21권2호
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• pp.162-167
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• 2015

In this paper, we propose a F-MBE algorithm for Dual mode seeker (CCD and IIR). The MBE algorithm show improved performance at the IIR target size estimation. but the MBE can't use at Dual Mode seeker. To overcome this problem,, we apply template matching method for CCD target size information. The performance of proposed F-MBE method is tested at target intercept scenario of dual mode seeker equipped missile. The experiment results show that the proposed algorithm has the relatively improved performance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.214-217
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• 2000

Many researches have been performed for human recognition and coding schemes recently. For this situation, we propose an automatic facial feature extraction algorithm. There are two main steps: the face region evaluation from original background image such as office, and the facial feature extraction from the evaluated face region. In the face evaluation, Genetic Algorithm is adopted to search face region in background easily such as office and household in the first step, and Template Matching Method is used to extract the facial feature in the second step. We can extract facial feature more fast and exact by using over the proposed Algorithm.

• 전자공학회논문지B
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• 제29B권4호
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• pp.36-47
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• 1992

In this paper, a set of TM(template matching) mask using the AM(associative mapping) technique was generated and the edge detection algorithm for a SAR image was proposed. And also, the performance of the proposed edge detection algorithm was tested with the conventional edge detection techniques. The proposed edge detection algorithm created an edge image which was more accurate and clear than the conventional edge detection techniques and the performance of the proposed detection technique was not deteriorated for low intensity area in the image because the uncertainly thresholded value genetated by the conventional detection methods was requested. Also, the number of masks and the detection time were reduced by adjusting resolution of edge detection and the consideration for the threshold value extracting the edge was very intuitive.

• IEIE Transactions on Smart Processing and Computing
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• 제6권2호
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• pp.76-84
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• 2017

This paper presents an efficient method for generating spatiotemporal images in order to detect leukocyte motion in microvessels. Leveraging the constraint that leukocytes move along the contour line of the blood vessel wall, our proposed method efficiently generates spatiotemporal images for leukocyte motion detection. To that end, translational motion caused by in vivo movement is first removed by a template matching method. Second, the blood vessel region is detected by an automatic threshold selection method in order to binarize temporal variance images. Then, the contour of the blood vessel wall is expressed via B-spline function. Finally, using the detected blood vessel wall's contour as an initial curve, the plasma layer for the most accurate position is determined in order to find the spatial axis via snake, and the spatiotemporal images are generated. Experimental results show that the spatiotemporal images are generated effectively through comparison of each step with three images.

• 전자공학회논문지B
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• 제31B권1호
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• pp.81-87
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• 1994

This paper describes the recognition of the printed Hanguel(Korean Character) using Neural Network. In this study, Neural network is used in only specific classification. Hanguel is classified globally by using template matching. Neural network is learned using the segmented grapheme. The grapheme of Hanguel is segmented using the structural method. Neural network is constructed, which is corresponded to the kind and the shape of graphemes. Each neural network is multi layer perceptron. The learning algorithm is the modified error back propagation using descending epsilon method. With five test character sets, the recognition rate of 94.95% is obtained.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.951-954
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• 1998

This paper describes the implementation of the machine vision system and the method of classifying the objects. Its system described in this paper is consisted of robot, conveyer system, warehouse, and machine vision. This system first recognizes the object on conveyer, and then robot moves it to the warehouse. The position of the object on conveyer is always not constant, because it is not easy to extract the feature of its object and classify it into one of several categories. In this paper, to classify or inspect the pattern of the object, we propose the method of template matching using feature vector such as position invariant moment and mophological operation such as opening and closing. And we indentified an unregistered object using unsuperviser learning method and assigned it to the new pattern. We implemented its system and obtained satisfied results.