• Title, Summary, Keyword: Biometrics

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Changeable Biometrics for PCA based Face recognition (주성분 분석 기반의 얼굴 인식을 위한 가변 생체정보 생성 방법)

  • Jeong, Min-Yi;Lee, Chul-Han;Choi, Jeung-Yoon;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • pp.331-332
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    • 2006
  • To enhance security and privacy in biometrics, changeable (or cancelable) biometrics have recently been introduced. The idea is to transform a biometric signal or feature into a new one for enrollment and matching. In this paper, we proposed changeable biometrics for face recognition using on PCA based approach. PCA coefficient vector extracted from an input face image. The vector is scrambled randomly and removed. When a transformed template is compromised, it is replaced by a new scrambling rule. In our experiment, we compared the performance between when PCA coefficient vectors are used for verification and when the transformed coefficient vectors are used for verification.

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Design and Implementation of Biometrics Security System Using photoplethysmogram (광용적맥파를 이용한 생체인식 보안시스템의 설계 및 구현)

  • Kim, Hyen-Ki
    • Journal of the Korea Industrial Information Systems Research
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    • v.15 no.4
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    • pp.53-60
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    • 2010
  • Biometrics are methods of recognizing a person based on the physiological or behavioral characteristics of his of her body. They are highly secure with little risk of loss or falsification by others. This paper has designed and implemented a security system of biometrics by precisely measuring heartbeat signals at two fingertips and using a photoplethysmogram, which is applicable to biometrics. A performance evaluation has led to the following result. The security system of biometrics for personal authentication which has been designed and implemented by this study has achieved a recognition rate of 90.5%. The security system of biometrics suggested here has merits of time saving and easy accessibility. The system is touch-based and collects the necessary biometrics information by simply touching the machine with fingers, so anyone can utilize the system without any difficulty.

Multimodal Face Biometrics by Using Convolutional Neural Networks

  • Tiong, Leslie Ching Ow;Kim, Seong Tae;Ro, Yong Man
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.170-178
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    • 2017
  • Biometric recognition is one of the major challenging topics which needs high performance of recognition accuracy. Most of existing methods rely on a single source of biometric to achieve recognition. The recognition accuracy in biometrics is affected by the variability of effects, including illumination and appearance variations. In this paper, we propose a new multimodal biometrics recognition using convolutional neural network. We focus on multimodal biometrics from face and periocular regions. Through experiments, we have demonstrated that facial multimodal biometrics features deep learning framework is helpful for achieving high recognition performance.

A Study on Standardization of Biometrics Industry (생체인식 산업의 표준화에 관한 연구 II ( 시스템(보안) 표준 ; BS7799/IS0/IEC 17799를 중심으로 ))

  • 강병노;송수정;정수일
    • Proceedings of the Safety Management and Science Conference
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    • pp.59-63
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    • 2002
  • The purpose of this study is to carry out comparative analysis of the differences between the trend of biometrics-related system(security) standardization in the world and that of Korea, and to suggest ideal directions and building plans for domestic biometrics industry. Its purpose also includes constructing promptly a standardization of domestic biometrics industry based on the suggested standards.

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A Study on Software Standardization of Biometrics Industry (생체인식 산업의 Software부문 표준화에 관한 연구)

  • 강병노;송수정
    • Proceedings of the Safety Management and Science Conference
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    • pp.121-125
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    • 2003
  • The Purpose of this study is to carry out comparative analysis of the differences between the trend of biometrics-related software standardization in the world and that of Korea, and to suggest ideal directions and building plans for domestic biometrics industry. Its purpose also includes constructing promptly a standardization of domestic biometrics industry based on the suggested standards.

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A Study on Test ST Evaluation Standardization of Biometrics Industry (생체인식 산업의 시험평가부문 표준화에 관한 연구)

  • 강병노;송수정
    • Proceedings of the Safety Management and Science Conference
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    • pp.115-120
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    • 2003
  • The purpose of this study is to carry out comparative analysis of the differences between the trend of biometrics-related test St evaluation standardization in the world and that of Korea, and to suggest ideal directions and building plans for domestic biometrics industry. Its purpose also includes constructing promptly a standardization of domestics biometrics industry based on the suggested standards.

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Non-intrusive 3D Face Data Acquisition System (비 강압적 3차원 얼굴 데이터 획득 시스템 연구)

  • Kim, Joong-Rock;Yu, Sun-Jin;Lim, Kyung-Min;Kim, Soo-Yeon;Lee, Sang-Youn
    • Proceedings of the IEEK Conference
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    • pp.929-930
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    • 2008
  • To develop reliable 3D face recognition system, many researchers also have focused on 3D face data acquisition system. Previous many 3D face acquisition systems use visible patterns to solve corresponding problem, and this pattern made anyone who wants to be verified uncomfortable. In this paper, we propose a new invisible infrared line-laser pattern for 3D face data acquisition.

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Development of Real-Time Verification System by Features Extraction of Multimodal Biometrics Using Hybrid Method (조합기법을 이용한 다중생체신호의 특징추출에 의한 실시간 인증시스템 개발)

  • Cho, Yong-Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.9 no.4
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    • pp.263-268
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    • 2006
  • This paper presents a real-time verification system by extracting a features of multimodal biometrics using hybrid method, which is combined the moment balance and the independent component analysis(ICA). The moment balance is applied to reduce the computation loads by extracting the validity signal due to exclude the needless backgrounds of multimodal biometrics. ICA is also applied to increase the verification performance by removing the overlapping signals due to extract the statistically independent basis of signals. Multimodal biometrics are used both the faces and the fingerprints which are acquired by Web camera and acquisition device, respectively. The proposed system has been applied to the fusion problems of 48 faces and 48 fingerprints(24 persons * 2 scenes) of 320*240 pixels, respectively. The experimental results show that the proposed system has a superior verification performances(speed, rate).

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Fusion algorithm for Integrated Face and Gait Identification (얼굴과 발걸음을 결합한 인식)

  • Nizami, Imran Fareed;Hong, Sug-Jun;Lee, Hee-Sung;Ann, Toh-Kar;Kim, Eun-Tai;Park, Mig-Non
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.15-18
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    • 2007
  • Identification of humans from multiple view points is an important task for surveillance and security purposes. For optimal performance the system should use the maximum information available from sensors. Multimodal biometric systems are capable of utilizing more than one physiological or behavioral characteristic for enrollment, verification, or identification. Since gait alone is not yet established as a very distinctive feature, this paper presents an approach to fuse face and gait for identification. In this paper we will use the single camera case i.e. both the face and gait recognition is done using the same set of images captured by a single camera. The aim of this paper is to improve the performance of the system by utilizing the maximum amount of information available in the images. Fusion is considered at decision level. The proposed algorithm is tested on the NLPR database.

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Enhancement of Authentication Performance based on Multimodal Biometrics for Android Platform (안드로이드 환경의 다중생체인식 기술을 응용한 인증 성능 개선 연구)

  • Choi, Sungpil;Jeong, Kanghun;Moon, Hyeonjoon
    • Journal of Korea Multimedia Society
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    • v.16 no.3
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    • pp.302-308
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    • 2013
  • In this research, we have explored personal authentication system through multimodal biometrics for mobile computing environment. We have selected face and speaker recognition for the implementation of multimodal biometrics system. For face recognition part, we detect the face with Modified Census Transform (MCT). Detected face is pre-processed through eye detection module based on k-means algorithm. Then we recognize the face with Principal Component Analysis (PCA) algorithm. For speaker recognition part, we extract features using the end-point of voice and the Mel Frequency Cepstral Coefficient (MFCC). Then we verify the speaker through Dynamic Time Warping (DTW) algorithm. Our proposed multimodal biometrics system shows improved verification rate through combining two different biometrics described above. We implement our proposed system based on Android environment using Galaxy S hoppin. Proposed system presents reduced false acceptance ratio (FAR) of 1.8% which shows improvement from single biometrics system using the face and the voice (presents 4.6% and 6.7% respectively).