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강상규(Sang-Kyu Kang),김형수(Hyung-Su Kim),한영환(Young-Hwan Han) 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.6
Face recognition is a method that can get images without the contact of a sensor using a camera and can identify and authenticate users. However, a face recognition system has a weakness that it is sensitive to the external factors, including lighting, the size and direction of the image. This study proposes a symmetric algorithm utilizing the symmetry of the face in order to solve the problem that the face is not recognized, influenced by the external environments, such as changes in lighting and covering in the face recognition. To find the eyes in the image of the face area during the standardization process, essential for a symmetric algorithm, Haar-like feature and Adaboost algorithm were used, and an experiment of recognition was conducted with Eigenface as a classifier. For a database, Yale Database B was used, and in an experiment, the recognition rate was compared according to the application of histogram equalization that could generally control the brightness of images. It was noted that a symmetry image applying the symmetry algorithm proposed in this study had increased a recognition rate than that of a standardized basic image, regardless of the application of histogram equalization.
강상규(Sang-Kyu Kang),김경호(Kyung-Ho Kim),이호신(Ho-Shin Lee) 한국콘텐츠학회 2003 한국콘텐츠학회 종합학술대회 논문집 Vol.1 No.1
본 논문은 국가적으로 추진되고 있는 나노기술의 연구개발 활성화와 산업화를 정보적인 측면에서 지원할 수 있는 정보지원 체제를 구축하기 위함이다. 나노기술 정보는 국내외 대학, 연구소, 기업과 연계하여 수집, 가공, 분석, 유통, 확산, 활용체제를 구축하였다. 정보지원체제는 연구계와 산업계의 협력 네트워크를 포함하며, 정보공유, 연구개발 방향 및 산업화 방향을 제시하고자 하였다. This study is about the establishment of an information support system which will provide information to activate national nanotechnology R&D activities and industrialization. Nanotechnology information support system for collecting, processing, analyzing, disseminating and utilizing informations has been established in cooperation with local and foreign academia, research institutes and industries. The information system including cooperative network with academia and industries is aimed to suggest guidelines for information sharing and direction of R&D activities and industrialization.