• Journal of the Korea Society for Simulation
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• v.18 no.1
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• pp.17-25
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• 2009

This paper suggests fuzzy-based Segment-Boost method and an effective method for face recognition using the fuzzy-based Segment-Boost. Fuzzy-based Segment-Boost eliminates the limitations of Segment-Boost, and it guarantees improved learning performance and the stability of the performance. By using the fuzzy theory, fuzzy-based Segment-Boost optimizes the selection number of sub-vectors, and leads the optimized learning performance. The fuzzy controller designed in this paper measures learning performance of the fuzzy-based Segment-Boost, and it controls the selection number of sub-vectors by inferring the optimized selection number. The simulation results show that the fuzzy controller inferred the selection number which is very approximate to the true optimized value. As a result, fuzzy-based Segment-Boost showed higher face recognition rate than compared boosting methods and it preserves the velocity of feature selection as fast as that of Segment-Boost. From the experimental results, it was proved that fuzzy-based Segment-Boost has improved and stable performances of learning, feature selection and face recognition.

• The KIPS Transactions:PartB
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• v.18B no.6
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• pp.375-384
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• 2011

This paper suggests a method to recognize facial expressions of animation characters by means of dominant colors and feature points. The proposed method defines a simplified mesh model adequate for the animation character and detects its face and facial components by using dominant colors. It also extracts edge-based feature points for each facial component. It then classifies the feature points into corresponding AUs(action units) through neural network, and finally recognizes character facial expressions with the suggested AU specification. Experimental results show that the suggested method can recognize facial expressions of animation characters reliably.

• Journal of Convergence Society for SMB
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• v.5 no.3
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• pp.9-13
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• 2015

With the advance of ICT, the necessity of user authentication to verify the identity of an opponent online not face to face is increasing. The authentication, the basis of the security, is used in various fields. Because ID-based authentication has weaknesses in terms of stability and losses, two or more than two authentication tools are used in the place in which the security is important. Recently, biometric authentication rather than ID, OTP, SMS authentication has been an issue in terms of credibility and efficiency. As the fields applied to current biometric recognition technologies are increasing, the application of the biometric recognition is being used in various fields such as mobile payment system, intelligent CCTV, immigration inspection, and access control. As the biometric recognition, finger print, iris, retina, vein, and face recognition have been studied actively. This study is to inspect the current state of domestic and foreign standardization including understanding of the face recognition and the trend of technology.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.645-651
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• 2010

Recently the need for advanced security technologies are increasing as the occurrence of intelligent crime is growing fastly. Previous liveness detection methods are required for the improvement of accuracy in order to be put to practical use. In this paper, we propose a new fake image detection method using pupil reflection. The proposed system detects eyes based on multi-scale Gabor feature vector in the first stage, and uses template matching technique in oreder to increase the detection accuracy in the second stage. The template matching plays a role in determining the allowed eye area. The infrared image that is reflected in the pupil is used to decide whether or not the captured image is fake. Experimental results indicate that the proposed method is superior to the previous methods in the detection accuracy of fake images.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.07a
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• pp.204-207
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• 2003

생체인식 기술은 전통적인 비밀번호 방식 또는 토큰 방식보다 신뢰성 면에서 더 선호되지만, 환경의 영향에 매우 민감하여 성능의 한계가 있다. 이러한 단일 생체인식 기술의 한계를 극복하기 위하여 여러 종류의 생체 정보를 결합한 다중 생체인식 (multimodal biometrics)에 관한 다양한 연구가 진행되고 있다 본 논문에서는 다중 생체인식 기술을 간략히 소개하고, Support Vector Machines(SVM)을 이용하여 얼굴 및 음성 정보를 함께 이용한 다중 생체인식 실험으로 성능이 개선될 수 있음을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.727-729
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• 2004

최근 정보 보안의 문제를 해결하기 위하여 생체 정보를 이용하여 사용자 인증 및 인식을 하는 기술들이 개발되고 있다 생체 정보를 이용하는 인증 및 인식 기술은 생체 정보를 가지고 사람을 구별하는 기술을 말하며 신뢰성과 편리성에 있어서 기존의 다른 보안 시스템의 한계점을 보완해 줄 것이다. 현재 연구되고 있는 얼굴 인식 기술은 생체인식 중에서 이용자들에게 가장 거부감이 적은 기술이다. 얼굴인식의 장점은 다른 생체인식 기술이 사용자로 하여금 일정한 동작을 취하도록 요구하는 것과 달리 비접촉으로 자연스럽게 확인 할 수 있는 것이며, 사용자는 자신이 현재 검사 당하고 있다는 사실을 인지하지 못하는 상태에서 수행되므로 거부감이 적다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.491-496
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• 2015

Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, the secure user authentication is required when the user is using cloud computing. This paper, we propose the enhanced AdaBoost algorithm for access cloud security zone. The AdaBoost algorithm despite the disadvantage of not detect a face inclined at least 20, is widely used because of speed and responsibility. In the experimental results confirm that a face inclined at least 20 degrees tilted face was recognized. Using the FEI Face Database that can be used in research to obtain a result of 98% success rate of the algorithm perform. The 2% failed rate is due to eye detection error which is the people wearing glasses in the picture.

• Review of KIISC
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• v.17 no.1
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• pp.57-62
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• 2007

본 논문에서는 바이오인식 정보 기술(얼굴, 정맥, 지문, 홍채)을 이용하여 신뢰성 있는 Ubiquitous-Healthcare(U-HC) 서비스를 지원하는 사용자 인종 메커니즘과 암호화 기법을 제안한다. U-HC 서비스에 태동 및 특징, 국내외 산업현황, 기대효과 등을 통해 U-HC서비스의 필요성을 강조하고 있다. 하지만 지능화 및 고도화된 기술을 통하여 개인 정보를 악의적인 의도로 유출하여 개인에게 육체적 정신적 경제적 피해를 주고 있다. 바이오인식은 이러한 피해를 막고 보안 및 프라이버시 측면의 취약점 및 공격들을 분석하여 효율적으로 방어함으로서 개인의 의료정보 및 바이오 정보를 보호하기 위한 대응책인 새로운 사용자 인증과 암호화 기법이다. 사용자 인증 기법은 다수의 바이오 정보들을 인증 시에 무작위로 선택하여 2개 이상 입력하는 방안이며 암호화 기법은 사용자 스토리(Story)식 암호화(Encryption) 기법을 제안한다. 이러한 방법론을 통하여 효율적이며 신뢰 성 있는 U-HC 서비스를 보장하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.1961-1968
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• 2010

The Face Stimulus Assessment is an efficient projective drawing test developed by Betts. This paper categorizes scales which Betts suggested into the following five groups: accuracy of painting, color fit, perception of shape, precision of drawing, and space usage. In this paper, a computer algorithm which objectively evaluates these five scales is suggested. The proposed algorithm defines the areas of the lip, eyes, hair, etc. which take on significant roles in the evaluation of the FSA and based on these factors, it calculates the grade of each scale through the main color and color ratio. The consistency of evaluations between the computer algorithm and the art therapist is measured by the Quadratic Weighted Kappa. By providing objectivity and consistency, the computer algorithm is expected to solve the problem of uncertainty found in art therapists' evaluations of projective drawing tests caused by their subjective judgment, experience, and intuition.

• Journal of IKEEE
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• v.17 no.4
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• pp.499-504
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• 2013

Automation is being progressed rapidly in various fields with the advancement of IT technology. Home automation is a typical application and is being used in a variety of ways now. Most of digital door lock systems simply support to open and close a door using the methods of password and a particular magnetic key. In this paper, we propose a intelligent digital door lock system using face recognition technology. Our proposed system can control the locking device opening and closing from a remote location after confirming the identification of the visitor via a smart device, and support the reliable and secure control of door systems.