• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.1-15
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• 2005

As organizations search fur more secure authentication methods (Dr user access, e-commerce, and other security applications, biometrics is gaining increasing attention. Biometrics offers greater security and convenience than traditional methods of personal recognition. In some applications, biometrics can replace or supplement the existing technology. In others, it is the only viable approach. Several biometric methods of identification, including fingerprint hand geometry, facial, ear, iris, eye, signature and handwriting have been explored and compared in this paper. They all are well suited for the specific application to their domain. This paper briefly identifies and categorizes them in particular domain well suited for their application. Some methods are less intrusive than others.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1411-1419
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• 2017

The two factor authentication capability, private key possession and key protection password knowledge, and the strong public key cryptography protocol of PKI authentication have largely contributed to the rapid construction of Internet transaction trusted infrastructure. The reusability of a certificate-based identity for every PKI site was another contribution factor of the spread of PKI authentication. Nevertheless, the PKI authentication has been criticised mainly for the cost of PKI construction, inconvenience of individual certificate management, and difficulties of password management. Recently FIDO authentication has received high attention as an alternative of the PKI authentication. The FIDO authentication is also based on the public key cryptography which provides strong authentication services, but it does not require individual certificate issuance and provides user-friendly and secure authentication services by integrating biometric technologies. The purpose of this paper is to concretely compare the PKI-authentication and FIDO-authentication and, based on the analysis result, to propose their corresponding applications.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.350-363
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• 2011

This study is to examine the effect of the purchase intention toward smart clothing on the perceived usefulness, perceived ease of use, perceived enjoyment, trust, and social influence, and the moderating effect of the customers' characteristics like the trend and information innovation. After pictures about the smart clothing for biometric measurement were provided, 256 questionnaires targeted at 20s were gathered. The results of this study are as follows. First, perceived usefulness, perceived ease of use, and perceived enjoyment had an positive effect on the purchase intention of smart clothing. Second, interactions between perceived enjoyment, trust, and social influence and trend innovation had an effect on the purchase intention of smart clothing. Finally, interactions between perceived ease of use, perceived enjoyment, and social influence and information innovation had an influence on the purchase intention of smart clothing. This study can provide various guidelines for researches and companies relative to smart clothing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.400-403
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• 2018

The VR / AR market has grown significantly due to the development of Virtual Reality and Augmented Reality, the core technologies of the Fourth Industrial Revolution. According to a report released by the Korea Science and Engineering Corporation (KISTEP), the global VR / AR market will grow to $ 105 billion by 2022. An important key to the growth of the VR / AR market is user immersion. VR is dependent on technology of hardware such as display and sensor for biometric signal recognition. In order to improve user's immersion feeling, it is important to transmit sensor data to display device more accurately and quickly. In this paper, we consider various sensor hardware dependencies of VR, and compare various correction methods and filtering methods to lower the Motion to Photon (MTP) time that user movement is fully reflected on the display using sensor devices.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.129-135
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• 2017

In this paper, we propose a system to monitor the condition of elderly people who are uncomfortable by using smart-phone and biometric sensor at any time and for care-givers to provide with the best medical service anytime and anywhere. The proposed system monitors the status of the elderly through various bionic sensors installed in the hospital ward based on the Arduino system and not only provides the physiological and medical services required by the elderly, but also informs the guardian so that he can cope with the emergency. In conclusion, this paper suggests that a reading light used by elderly people can operate as a home server with a biosensor using Arduino and Android applications (Apps.), and the smart-phone of care-givers is configured as a remote management and a emergency call system. Therefore, this study suggests important ways to improve the satisfaction of medical service for the both elderly people and care-givers of chronic diseases in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1161-1170
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• 2016

In this paper, we provide an authentication technology for verifying dynamic signature made by finger on smart phone. In the proposed method, we are using the Auto-Encoder-based 1 class model in order to effectively distinguish skilled forgery signature. In addition to the basic dynamic signature characteristic information such as appearance and velocity of a signature, we use accelerometer value supported by most of the smartphone. Signed data is re-sampled to give the same length and is normalized to a constant size. We built a test set for evaluation and conducted experiment in three ways. As results of the experiment, the proposed acceleration sensor value and 1 class model shows 6.9% less EER than previous method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4568-4575
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• 2010

Iris recognition is a biometric technology that uses iris pattern information, which has features of stability, security etc. Because of this reason, it is especially appropriate under certain circumstances of requiring a high security. Recently, using the iris information has a variety uses in the fields of access control and information security. In extracting the iris feature, it is desirable to extract the feature which is invariant to size, lights, rotation. We have easy solutions to the problem of iris size and lights by previous processing but there is still problem of iris feature extract invariant to rotation. In this paper, To improve an awareness ratio and decline in speed for a revision of rotation, it is proposed that the iris recognition method using Zernike Moment and Daubechies Wavelet. At first step, the proposed method groups rotated iris into similar things by statistical feature of Zernike Moment invariant to a rotation, which shortens processing time of iris recognition and looks equal to an established method in the performance of recognition too. therefore, proposed method could confirm the possibility of effective application for large scale iris recognition system.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.31-40
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• 2012

Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on Zernike Moment which is robust to rotations of iris patterns. we utilized a selection of Zernike moments for the fast and effective recognition by selecting global optimum moments and local optimum moments for optimal matching of each iris class. The proposed method enables high-speed feature extraction and feature comparison because it requires no additional processing to obtain the rotation invariance, and shows comparable performance to the well-known previous methods.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.149-156
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• 2020

In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.251-256
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• 2021

Unlike general cameras, a high-speed camera capable of capturing a large number of frames per second can enable the advancement of some image processing technologies that have been limited so far. This paper proposes a method of removing undesirable noise from an high-speed input color image, and then detecting a human face from the noise-free image. In this paper, noise pixels included in the ultrafast input image are first removed by applying a bidirectional filter. Then, using RetinaFace, a region representing the person's personal information is robustly detected from the image where noise was removed. The experimental results show that the described algorithm removes noise from the input image and then robustly detects a human face using the generated model. The model-based face-detection method presented in this paper is expected to be used as basic technology for many practical application fields related to image processing and pattern recognition, such as indoor and outdoor building monitoring, door opening and closing management, and mobile biometric authentication.