• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.247-250
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• 2011

컴퓨터의 대중화와 각종 디지털 기기의 보급 및 네트워크의 발달로 거의 모든 정보가 디지털화되어 처리 및 저장되고 있는 추세이다. 하지만 이러한 편리한 측면에도 불구하고 개인 신상 정보 유출 및 피싱, 해킹 등으로 인해 아이디/비밀번호와 같은 기존 방식으로는 강화되고 있는 보안에 대한 요구를 충족시킬 수 없는 것이 현실이다. 홍채 인식은 최근들어 출입통제, 정보보안 등의 분야에 많이 활용되고 있다. 홍채 특징 추출 시 크기, 조명, 회전에 무관한 홍채 특징을 추출하는 것이 바람직하다. 홍채크기 및 조명 문제는 전처리를 통해 쉽게 해결할 수 있지만 회전에 무관한 홍채 특징 추출은 여전히 문제가 된다. 본 논문에서는 회전 보정으로 인한 인식률 및 속도 저하를 개선하기 위해 Zernike 모멘트를 통한 홍채특징 추출방법을 제안하였다.

• Journal of KIISE:Software and Applications
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• v.28 no.11
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• pp.864-873
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• 2001

In this paper, a new approach to building a registration authority for issuing PKI-based certificates is presented to make the process of identifying an individual more secure and reliable by utilizing human iris recognition technology. The tasks of the proposed system associated with the manipulation of irises except for the general functions of registration authorities can be categorized into three modules, the acquisition of iris images, the registration of iris information, and the verification of users by means of iris patterns. The information among the three modules is safely exchanged through encryption and decryption with a symmetric cryptographic method. As a feature extraction method for a given iris image, a wavelet transform is applied to represent a feature vector with a small dimension of information obtained by subsampling an image corresponding to lower frequency bands successively without loss of information. Through the experiments on human iris recognition technology we proposed and applied to the registration authority, the potential of biometric technology in various applications is confirmed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.175-181
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• 2009

In this paper, we introduce the implementation of the security system using iris recognition. This system acquires images with infrared camera and extracts the 2D code from a infrared image which uses scale-space filtering and concavity. We examine the system by (i) extract 2D code and (ii) compare the code that stored on the server (iii) mearsure FAR and FRR using pattern matching. Experiment results show that the proposed method is very suitable.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.328-330
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• 2003

홍채 인식 시스템의 성능향상을 위해서는 전처리 단계에서 위조된 데이터나 잡음이 섞인 데이터를 걸러내는 과정이 매우 중요하다. 이 논문에서는, 강인한 홍채 인식 시스템을 위해서 두 단계로 이루어진 눈 영상 검사 알고리즘을 제안한다. 알고리즘의 첫 번째 단계에서는 동공 반지름과 눈꺼풀 움직임 변화량의 상관계수(coefficient)와 2차원 고속 퓨리에 변환(Fast Fourier Transform) 스펙트럼을 이용해 위조된 데이터를 찾아낸다. 두 번째 단계에서는 눈 영상에 눈 깜박임이나 속눈썹의 홍채영역 침범, 홍채 영상이 부분적으로 잘렸을 경우 등의 시스템의 성능저하의 원인이 되는 부적절한 데이터를 찾아낸다. 111영의 1734개의 눈 영상을 대상으로 실험한 결과, 제안된 알고리즘의 성공률은 96.5%였고 이러한 전처리 과정을 통해서 전체적인 시스템의 정확률을 향상시킬 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.167-168
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• 2019

Lately, variety of algorithms using encryption technology has been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve through human biometrics technology which has already succeeded in commercialization. These include finger print recognition, face recognition, and iris recognition. In this study, we selected biometrics recognition technology and pattern recognition and password input methods which are already commercialized as evaluation items. The evaluation items are five algorithms including finger print recognition, face recognition iris recognition, pattern recognition and password input method. Based on these algorithms, analytic hierarchy process is used to analyze the preference of smartphone users. Also, the theoretical implications are presented based on the analysis results.

• Journal of IKEEE
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• v.6 no.2 s.11
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• pp.169-177
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• 2002

In this paper, we introduce a new technology to extract the unique features from an iris image, which uses scale-space filtering. Resulting iris code can be used to develop a system for rapid and automatic identification of persons, with high reliability and confidence levels. First, an iris part is separated from the whole image. Then the radius and center of the iris are obtained. Once the regions that have a high possibility of being noise are discriminated, the features presented in the highly detailed pattern is then extracted from the iris image. Scale-space filtering technique is applied for feature extraction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.705-708
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• 2018

Among biometrics commercialized for security, iris recognition technology has the most excellent security for the probability of the match between individuals is the lowest. Current commercialized iris recognition technology has excellent recognition ability, but this technology has a fatal drawback. Without the user's active cooperation, it cannot recognize the iris correctly. To make up for this weakness, recent trend of iris recognition development mounts a non-volunteering, unconstrained method. According to this information, the objective of this research is developing a module that can identify people iris from a video acquired by high performance infrared camera in a range of 3m and in a involuntary way. For this, we import images from the video and find people's face and eye positions from the images using Haar classifier trained through Cascade training method. finally, we crop the iris by Hough circle transform and compare it with data from the database to identify people.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.971-980
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• 2023

Safety accidents and industrial accidents are constantly occurring in existing industrial sites. In addition, the probability of accidents occurring due to physical and mental fatigue of workers is increasing. Accordingly, it is required to introduce systematic management and various systems for the safety of workers. In this paper, by developing an access control system using bio-metric information at industrial sites, we develop efficient health management and access control management functions for workers. Workers are identified through face recognition for access control, and health status is determined through iris recognition. It aims to improve accuracy and develop a more efficient management system by diagnosing signs of health abnormalities through the congestion of the iris and eyes of workers. Finally, the contents of the development consist of an on-site access control system, an access control program for administrators, and a main server system that diagnoses signs of abnormal health of users.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1104-1107
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• 2010

홍채 인식 시스템의 응용 프레임워크는 홍채 인식기 모듈을 컴퓨터에 연결할 때 사용되는 USB 호스트 콘트롤러 드라이버와 응용 프로그램 사이에서 둘을 제어하는 스탠다드 라이브러리를 제공한다. 본 논문에서는 스탠다드 라이브러리 설계와 구현을 설명하고 있다. 스탠다드 라이브러리는 표준 호출규약을 지키므로 응용 프로그램은 다양한 언어로 작성할 수 있다. 또한, 기존의 폴링 방식으로 구현된 스탠다드 라이브러리를 콜백을 이용하여 구현함으로써 네트워크를 통해 많은 사람들이 동시에 홍채 인식기를 사용할 때 리소스 사용을 경감할 수 있는 장점이 있다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.2
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• pp.1-9
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• 2008

As the security requirements of mobile phones have been increasing, there have been extensive researches using one biometric feature (e.g., an iris, a fingerprint, or a face image) for authentication. Due to the limitation of uni-modal biometrics, we propose a method that combines face and iris images in order to improve accuracy in mobile environments. This paper presents four advantages and contributions over previous research. First, in order to capture both face and iris image at fast speed and simultaneously, we use a built-in conventional mega pixel camera in mobile phone, which is revised to capture the NIR (Near-InfraRed) face and iris image. Second, in order to increase the authentication accuracy of face and iris, we propose a score level fusion method based on SVM (Support Vector Machine). Third, to reduce the classification complexities of SVM and intra-variation of face and iris data, we normalize the input face and iris data, respectively. For face, a NIR illuminator and NIR passing filter on camera are used to reduce the illumination variance caused by environmental visible lighting and the consequent saturated region in face by the NIR illuminator is normalized by low processing logarithmic algorithm considering mobile phone. For iris, image transform into polar coordinate and iris code shifting are used for obtaining robust identification accuracy irrespective of image capturing condition. Fourth, to increase the processing speed on mobile phone, we use integer based face and iris authentication algorithms. Experimental results were tested with face and iris images by mega-pixel camera of mobile phone. It showed that the authentication accuracy using SVM was better than those of uni-modal (face or iris), SUM, MAX, NIN and weighted SUM rules.