은닉 마르코프 모델을 이용한 온라인 숫자 인식에 관한 연구

정수웅 김천과학대학 1996 김천과학대학 논문집 Vol.22 No.-

In this paper, an on-line recognition system of hand-written number is presented. The recognition of handwritten number has a difficulty of grapheme segmentation and a complexity in matching process due to the incrreasing number of candidates. To deal with these problem, we propose an automatic number recognition using hidden markov model.

복잡한 배경의 칼라 영상에서 허프 변환을 이용한 글자 영역 추출

정수웅 김천과학대학 2001 김천과학대학 논문집 Vol.27 No.-

An efficient method to extract text regions in complex color images is proposed. An algorithm locates the spatial position and estimates the skew of the text lines which are present in image using the local color information and hough transform. The color image is divided into sub-blocks. Sub-blocks are classified into a background block and a character candidate block by intensity variance and contrast. The background intensity is erased from 3×3 neighbor blocks. Similar blocks in hue and saturation are grouped into a region. Regions are refined by several heuristic parameters such as color, size and position information. Binary image is obtained after region refinement and is segmented into connected components. Character candidate components are detected by filtering noncharacter-like components based on several heuristics. The skew of the text lines are estimated by applying the hough transform. The proposed method have been used to locate text regions in book cover images. Experimental results are reported.

유비쿼터스 컴퓨팅을 위한 비전기반의 장소 인식 시스템

정수웅 김천과학대학 2005 김천과학대학 논문집 Vol.31 No.-

Position identification and place recognition is necessary in ubiquitous computing circumstance. In this paper, vision-based place recognition for ubiquitous computing is presented. Video image from a camera is mapped into texture space and texture informations is extracted in image. Given texture informations, place recognition is executed. For extracting texture informations in video image 10 SVM(Support Vector Machine) is used. PCA(principle Component Analysis) is used to reduce dimension, and then place pattern is obtained. An obtained pattern don't represent an entire image texture, but represent a pixel texture information. Accordingly the pattern represent a spacial distribution of each texture information. Place recognition is performed using HMM, which shows texture of input image and spatial characteristics of texture. The experiment is showed that the presented method is robust to a motion-blur and saturated image under illumination variation.

영숫자 그림이 혼용된 한글문서에서 문자 분리에 관한 연구

정수웅,이갑래 김천과학대학 1998 김천과학대학 논문집 Vol.24 No.-

In this paper, we propose a new method for segmenting characters in hangul document mixed with alphanumeric characters and picture. Since hangul has structural characteristics different from those of alphanumeric characters, structural characteristics of hangul characters are also different from those of alphanumeric ones. If hangul and alphanumeric characters are both written in a document, it is difficult to know whether the touching characters are hangul or not. The proposed segmentation method uses an MLP to generate candidate cutting points. The MLP-based segment lea군 cutting points from training samples which are composed of features extracted from touching character images and correct cutting point of those images. It generates five candidate cutting points per a touching character image and each candidate has a value that is regarded as cutting possibility at that position.

관광업 종사자의 직무배태성에 관한 연구

정수웅;이갑래 김천과학대학 2009 김천과학대학 논문집 Vol.35 No.-

The organizational costs which result from losing an employee are very high. Recently, Many researchers focused on not how people quit their jobs but why they don't leave them. Reflecting the idea of people's being "situated or connected in a social web, " embeddedness has several key aspects: the extent to which people have links to other people or activities, the extent to which their jobs and communities fit other aspects in their "life spaces," and the ease with which links could be broken-what they would give up if they left their present settings. As a result, one way to improve the embeddedness of travel agency in the organization is to form a unity among the employees through enforcement of consistent management policies, concern and consideration of each employee, activation of horizontal communication among the employees, and employees' participation in decision making and sharing employees' values.

실시간 비디오 감시에서 신경망 기반의 얼굴 검출

정수웅 김천과학대학 2003 김천과학대학 논문집 Vol.29 No.-

본 논문에서는 실시간 비디오 감시 시스템에서 움직이는 사람들의 얼굴을 추출하고 추적하는 방법을 제안한다. 얼굴 추출 과정에서 계산량으로 인한 부하를 줄이기 위해 제안한 방법은 변화 영역 접근 방식에 기반을 두고 있다. 전체적인 얼굴 추출 방법은 두 단계로 구성되어 있다. 첫 번째 단계는 움직이는 영역 추출을 위해 자동으로 임계값을 선택하는 적응 임계치 방법을 사용한다. 그리고, 임계 처리된 영상에서 이진 모션 마스크들을 생성한다. 두 번째 단계에서는 얼굴 영역을 검출한다. 얼굴 영역 추출은 추출된 모션 마스크 내에서 미리 정의된 피부색 모델을 활용하여 유사한 피부색을 가지는 픽셀들이 추출되고 후보 얼굴 영역들이 얻어진다. 후보 얼굴 영역들에 대해 얼굴의 크기와 모양을 학습한 신경망에 적용하여 실제 얼굴을 검출한다. 현재 프레임에서 검출된 얼굴을 바탕으로 연속된 프레임에서 얼굴들이 추적된다. 실험을 통하여 제안한 방법이 잡음이나 배경이 복잡한 영상에서 매우 효과적으로 얼굴을 추출함을 보인다. In this paper, we present a method to track and detect faces of moving humans for real-time video surveillance. In order to reduce the computational load to the human face detection, the presented method is based on the variation regions application. The method consists of two steps: moving region detection and face region detection. First, the moving region detection, the rough positions of moving objects in image sequence are determined using an adaptive thresholding method that automatically choose the threshold value for detecting the moving regions. Then, we obtained binary motion masks. Second, the face region detection, the pixels in the detected motion masks that have similar skin-color are extracted using the predefined skin-color model, which is a stochastic model to characterize skin-colors of human faces, then we obtain the binary candidate face region masks. The candidate face regions are classified into the real face region using neural network, which is trained size and shape of face. Based on the detected face in current frame, faces are tracked in consecutive frames. Our experimental results show that the presented method is robust under complex background and some noise.

On-Line 한글 인식을 위한 퍼지 이론의 이용에 관한 연구

정수웅 김천과학대학 1993 김천과학대학 논문집 Vol.19 No.-

In this paper, Using a Fuzzy theory an On-Line phoneme recognition procedure of Korean characters is studied. The recognition method is performed by reading the pixel coordinates, finding the frature points, recognizing the stroke, recognizing the phoneme in order. In the course of recognizing the stroke, First the frature points of an inputed stroke is characterized by starting point, end point, and bending point. Second, We investigate that The connection style between the former stroke and the latter stroke from the set of input strokes is related. And The relative direction between the former stroke and the latter stroke is considered. Finally, According to the above three form(stroke code, connection style, relative direction) We recognize a written korean character using finite automata.

비디오 영상에서 SVM과 HMM을 사용한 얼굴영역 추출

정수웅 김천과학대학 2007 김천과학대학 논문집 Vol.33 No.-

In this paper, we present the method of detecting some face regions in video images using Support Vector Machine and Hidden Markov Model. Face images from a camera are mapped into a texture space and then, some texture informations are extracted in face images. Given texture informations, face regions are detected. For extracting some texture informations in face images, 10 Support Vector Machines are used. PCA(principle Component Analysis) is used to reduce dimension, and then a face pattern is obtained. The obtained pattern doesn't represent the entire image texture, but represent the pixel texture information. Accordingly the pattern represents a spacial distribution of each texture information. The detection of face regions is performed using HMM, which shows texture of input image and spatial characteristics of texture. In order to reduce the computational load to the human face detection, the presented method is based on the variation regions application. The method consists of two steps: moving region detection and face region detection. First, the moving region detection, the rough positions of moving objects in image sequence are determined using an adaptive thresholding method that automatically choose the threshold value for detecting the moving regions. Then, we obtained binary motion masks. Second, the face region detection, the pixels in the detected motion masks that have similar texture are extracted. Some candidate face regions are classified into real face regions using HMM. The experiment is showed that the presented method is robust to a motion-blur and saturated image under illumination variation.

획 해석에 의한 연속 필기 숫자의 On-line 인식에 관한 연구

정수웅 김천과학대학 1994 김천과학대학 논문집 Vol.20 No.-

This paper illustrates an on-line recognition procedure of hand-written number. This recognition procedure is composed of stroke analysis, stroke recognition table, connection between strokes, and number recognition table. The stroke analysis performed the four steps such as partitioning of 4substroke, X axis, Y axis decrement and increment of each substroke, feature point acquisition. In the course of recognizing the stroke, First the feature points of an inputed stroke is acquired through two phases: the first phases defining starting point, end point, and bending point as feature points. Second, using fuzzy 8-direction We investigate the direction componet among feature points. Meanwhile, in number recognition the former stroke and the latter stroke from the set of input strokes is related. And the relative position and adjacency between the former stroke and the latter stroke is considered. Finally, According to the above three form(stroke code, relative position, adjacency) We recognize a handwritten number using number recognition table.

사람, 집박쥐 및 마우스 파네트세포의 Lysozyme 면역반응성

정진웅,차정호,오수자,전정수 대한해부학회 1991 Anatomy & Cell Biology Vol.24 No.2