• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.63-70
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• 2009

Recently, in the security token based authentication system, there is an increasing trend of using fingerprint for the token holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. In this paper, we propose an approach for secure fingerprint verification by distributing both the secret and the computation based on the fuzzy vault(a cryptographic construct which has been proposed for crypto-biometric systems). That is, a user fingerprint template which is applied to the fuzzy vault is divided into two parts, and each part is stored into a security token and a server, respectively. At distributing the fingerprint template, we consider both the security level and the verification accuracy. Then, the geometric hashing technique is applied to solve the fingerprint alignment problem, and this computation is also distributed over the combination of the security token and the server in the form of the challenge-response. Finally, the polynomial can be reconstructed from the accumulated real points from both the security token and the server. Based on the experimental results, we confirm that our proposed approach can perform the fuzzy vault-based fingerprint verification more securely on a combination of a security token and a server without significant degradation of the verification accuracy.

• Korean Journal of Artificial Intelligence
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• v.5 no.2
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• pp.15-25
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• 2017

Recently, technologies are being developed to recognize and authenticate users using bioinformatics to solve information security issues. Biometric information includes face, fingerprint, iris, voice, and vein. Among them, face recognition technology occupies a large part. Face recognition technology is applied in various fields. For example, it can be used for identity verification, such as a personal identification card, passport, credit card, security system, and personnel data. In addition, it can be used for security, including crime suspect search, unsafe zone monitoring, vehicle tracking crime.In this thesis, we conducted a study to recognize faces by detecting the areas of the face through a computer webcam. The purpose of this study was to contribute to the improvement in the accuracy of Recognition of Face Based on CNN Algorithms. For this purpose, We used data files provided by github to build a face recognition model. We also created data using CNN algorithms, which are widely used for image recognition. Various photos were learned by CNN algorithm. The study found that the accuracy of face recognition based on CNN algorithms was 77%. Based on the results of the study, We carried out recognition of the face according to the distance. Research findings may be useful if face recognition is required in a variety of situations. Research based on this study is also expected to improve the accuracy of face recognition.

• Journal of the Microelectronics and Packaging Society
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• v.23 no.2
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• pp.29-35
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• 2016

With the pace of rapid innovation in technology of IoT (Internet of Things) and smart devices, biometric technology becomes one of the most progressive industries. Recent trends in biometrics show most are focused on embedding biometric sensors in mobile devices for user authentication. Multifactor biometrics such as fingerprint, retina, voice, etc. are considering as identification system to provide users with services more secured and convenient. Here we, therefore, demonstrate some major technologies and market trends of mobile biometric technology with its concerns and issues.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.539-542
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• 2001

오늘날 디지털 컨텐츠 보호를 비롯한 다양한 분야에서 응용되어지고 있는 생체인식은 사람 개개인의 고유한 특징을 이용하여 기존의 인증방식을 대체하기 위한 것으로, 데이터의 무단 복제 및 배포가 사회적인 이슈가 되고 있으며 불법 복제 및 무단 배포에 능동적으로 대처할 수 있는 방법과 법적인 제도의 필요성이 대두되고 있는 현 시점에서 활발히 연구가 진행되고 있는 분야이다. 특히 지문인식은 기존의 패스워드 방식을 대체 할 수 있는 신뢰성을 지니며, 이미 상용화하기에 이르렀다. 본 논문에서는 지문인식방식을 살펴보고, 이에 있어서 정상적인 지문이 아닌 후천적인 영향으로 손상, 변형된 지문에 대한 인식 및 복구가 이루어질 수 있도록 하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.723-726
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• 2023

본 논문은 기존의 OTP(One-Time Password) 시스템의 한계와 약점을 해결하기 위하여 지문인식을 활용한 OTP 시스템에 대하여 연구를 진행하였다. OTP 시스템 자체가 높은 보안성을 가지고 있지만, 은행에서 발급하는 OTP는 생성 버튼만 누르면 비밀번호가 생성되기 때문에, 분실 및 도난 상황에서 2차 인증에 대한 보안이 허술해 질 수 밖에 없다. 본 연구에서는 지문인식 기반 OTP 시스템의 개발 방법을 마련하여 사회적으로 보안에 대한 인식을 높이고, 동시에 사용자의 편의성을 높이기 위한 방법을 제시하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.3
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• pp.12-26
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• 2000

In this paper, we propose a post-processing algorithm to remove false minutiae which decrease the overall performance of an automatic fingerprint identification system by increasing computational complexity, FAR(False Acceptance Rate), and FRR(False Rejection Rate) in matching process. The proposed algorithm extracts candidate minutiae from thinned fingerprint image. Considering characteristics of the thinned fingerprint image, the algorithm selects the minutiae that may be false and located in recoverable area. If the area where the selected minutiae reside is thinned incorrectly due to noise and loss of information, the algorithm recovers the area and the selected minutiae are removed from the candidate minutiae list. By examining the ridge pattern of the block where the candidate minutiae are found, true minutiae are recovered and in contrast, false minutiae are filtered out. In an experiment, Fingerprint images from NIST special database 14 are tested and the result shows that the proposed algorithm reduces the false minutiae extraction rate remarkably and increases the overall performance of an automatic fingerprint identification system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.503-523
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• 2022

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1269-1278
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• 2002

The more high growth of knowledge, the more need personal identity technique. Fingerprint or iris of the eye identity techniques are already commercialized and used various field. Using human face recognition or authentication are not high performance yet. But application for an organism or face recognition are expected getting important. We propose a user recognition system by verifying similarity comparison of eye and lip component images which are splitted, calculated characteristic rate of each facial components and added weight to special formula. Through test proposed methods and analysis the result, we got a high recognition rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.198-202
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• 1999

최근들어 컴퓨터와 네트워크의 발전으로 일상업무의 대부분을 컴퓨터를 이용하여 할 수 있으므로 신원 확인은 중요한 분야로 부상되었으며, 지문은 편리한 입력과 종생불변하고 만인부동한 특성으로 생체 측정 분야 중 가장 각광받고 있는 분야가 되었으다. 근래에 반도체 지문 입력장치의 개발로 인하여 크기와 속도 문제를 해결하므로써, 키보드, 마우스 등에 부착하여 네트워크의 신원확인과 인증에 많은 수요가 예상된다. 본 논문에서는 반도체 입력 장치를 이용한 지문 인식기술과 암호학을 접목하여 지문을 이용한 신원확인과 인증하여 기본형 보안 시스템 적용에 관해 연구하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.601-603
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• 2001

지문 인식을 이용한 인증 시스템의 개발에는 장비와 알고리즘의 개발이 선행되어야 하며, 목표로 하는 대상 사용자들의 요구를 만족시키기 위한 시스템의 성능 평가에 많은 노력을 기울여야 한다. 본 연구는 지문 인식을 이용한 개인인증 시스템의 개발 및 평가에 있어 필요한 성능 평가 플랫폼을 구현하고, 기 보유한 알고리즘을 바탕으로 한 실험결과를 해외의 테스트 플랫폼의 그것과 비교함으로써 평가의 신빙성을 확보함과 동시에, 개발에 드는 금전적, 시간적 비용을 줄여 최적의 시스템 개발 방향을 제시할 수 있도록 하였다.