• KIPS Transactions on Software and Data Engineering
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• 제3권8호
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• pp.299-308
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• 2014

Various literatures related computing of information processing have been recently shown the researches inspired from the remarkably excellent human capabilities which recognize and categorize very complex visual patterns such as body motions and facial expressions. Applied from human's outstanding ability of perception, the classification function of visual sequences without context information is specially crucial task for computer vision to understand both the coding and the retrieval of spatio-temporal patterns. This paper presents a biological process based action recognition model of computer vision, which is inspired from visual information processing of human brain for action recognition of visual sequences. Proposed model employs the structure of neural fields of bio-inspired visual perception on detecting motion sequences and discriminating visual patterns in human brain. Experimental results show that proposed recognition model takes not only into account several biological properties of visual information processing, but also is tolerant of time-warping. Furthermore, the model allows robust temporal evolution of classification compared to researches of action recognition. Presented model contributes to implement bio-inspired visual processing system such as intelligent robot agent, etc.

• Journal of KIISE:Software and Applications
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• 제34권4호
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• pp.377-388
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• 2007

In this paper, we propose a multi-modal biometric system based on face, iris and fingerprint recognition system. To effectively aggregate two systems, we use statistical distribution models based on matching values for genuine and impostor, respectively. And then, We performed reveal fusion algorithms including weighted summation, Support Vector Machine(SVM), Fisher discriminant analysis, Bayesian classifier. From the various experiments, we found that the performance of multi-modal biometric system was influenced with the normalization methods and classifiers.

• Proceedings of the Korea Multimedia Society Conference
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• 한국멀티미디어학회 2003년도 추계학술발표대회(상)
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• pp.236-239
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• 2003

본 논문에서는 많은 잡음으로 인해 손상된 지문으로부터 향상된 특이점 추출에 관한 방법을 제안한다. 최근 들어 주민등록증 뒷면의 지문 이미지와 본인의 생체 지문을 비교하여 본인임을 판단하는 시스템에 관한 연구가 활발하게 진행되어지고 있다. 그런데 생체지문 인식 장치를 통해 입력받은 지문 이미지는 왜곡과 잡음이 없는데 반해 주민등륵증상의 지문이미지는 입력 당시 잉크를 통해 회전날인 방식으로 입력받아 잡음과 왜곡이 심하여 두 이미지간의 인증율이 좋지 않다. 이에 주민등록증의 지문 이미지에 대한 잡음과 왜곡보정 필터링과 오류 특이점 제거 등을 통하여 향상된 지문인식 시스템을 구성할 수 있는 방법을 제안한다.

• The Journal of the Korea Contents Association
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• 제2권2호
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• pp.64-72
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• 2002

In this paper, the aims are to develop convenient and safe system-solutions, looking for missing-child, which is one of the increasing social problems, on the basis of World Wide Web. Finger-print cognition has been researching from long time before, as well as Bio-cognition technology, which is adapted for private-cognition in the field of human-cognition. By the fingerprint cognition, which discern finger print, which is generally used in Bio-cognition and is characterized each by using image-processing, missing-child protection system on the basis of Word Wide Web is designed and implemented in this paper. Additionally, indicates plans for revitalization method of this system.

• The KIPS Transactions:PartA
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• 제17A권1호
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• pp.33-44
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• 2010

We present a pipeline monitoring system based on bio-memetic robot in this paper. A bio-memetic robot exploring pipelines measures temperature, humidity, and vibration. The principal function of pipeline monitoring robot for the exploring pipelines is to recognize the shape of pipelines. We use infrared distance sensor to recognize the shape of pipelines and potentiometer to measure the angle of motor mounting infrared distance sensor. For the shape recognition of pipelines, the number of detected pipelines is used during only one scanning of distance. Three fuzzy classifiers are used for the number of detected pipelines, and the classifying results are presented in this paper.

• Journal of the Institute of Convergence Signal Processing
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• 제5권1호
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• pp.25-31
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• 2004

This paper is research about the improvement of recognition rate of the biometrics user identification system using the data previously stored in the non contact Ic smart card. The proposed system identifies the user by analyzing the iris pattern his or her us. First, after extracting the area of the iris from the image of the iris of an eye which is taken by CCD camera, and then we save PCA Coefficient using GHA(Generalized Hebbian Algorithm) into the Smart Card. When we confirmed the users, we compared the imformation of the biometrics of users with that of smart card. In case two kinds of information was the same, we classified the data by using SVM(Support Vector Machine). The Experimental result showed that this system outperformed the previous developed system.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제8권2호
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• pp.494-498
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• 2004

In this paper, a system that implementation of Access Control System Using Biometric System. Biometries is science which deals with verifying or recognizing using physiological or behavioral characteristic Access Control System uses Bionietric system to make an access control system. Biometrics goes under the study of bio-recognition or bio-measurement. It is a technology or study that identifies individuals using one's Biometric character. Access control system is a system used to identify one's entrance and exit, personal management, and security. Access control system can be joined with Biometric system to produce easier use and more sufficient effects. Access control system using Weigand (Data format) signal output, can replace earlier RF Card systems and make an access control (security) system. It uses RS-232, Rs-422 or TCP/IP type communication with the computer so an embedded system can be controlled using the software.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.231-234
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• 2002

This paper considers a system related to biometrics which can control entrance and exit based on pattern and feature of a tooth. It is aimed at research and development of a controling entrance and exit system connected advanced image understanding technique using a tooth recognition that treats a tooth of simple and fixed structure. We think that the system is applied(or utilized) as pre-step or assistance means of face recognition and expect that the system achieves greatly effective results.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제35권2B호
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• pp.232-243
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• 2010

In this paper, various physiological signals of humans were measured and analyzed to inference their psychological state and biological information, and Bio-Signal Context aware system (BSC), which recognizes the current context of its users as well as the information of exterior environment and offers the service appropriate for them, was designed and implemented. The BSC extracts and analyzes the features from bio-signals, such as the measured electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR), with its different sensors, has the input of the analyzed results, and discriminates four psychological states of rest, concentration, tension and melancholy. In addition to the results of the discriminated psychological states, the information of biological condition analyzed from the user's bio-signals, for example, heart rate variability (HRV), Galvanic skin response (GSR) and body temperature, and the information of external environment related to the user's are collected to offer the service fit for the user's present biological condition by inferring and recognizing the user's present situation.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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• pp.730-732
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• 2004

생체 정보를 도용하기 어렵다는 장점에도 불구하고 생체 인증시스템이 그 자체로 안전한 것은 아니다. 생체정보를 위조하기는 어렵지만 손상되기는 쉽기 때문이다. 본 논문은 생체 정보로부터 생성된 초기 값을 이용하여 생체정보의 무결성을 보장하는 생체 인증시스템을 제안한다. 실험 결과 카드 소유자를 소유자로 인식한 확률은 최적 파라미터 하에서 약 96%정도였으며, 비소유자를 소유자로 오인한 확률은 0%였다. 학습에 참여한 비소유자 뿐만 아니라, 학습에 참여하지 않은 비소유자도 100% 기각을 하여 소유자 검증에 놓은 신뢰도를 보였다.