• 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%.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.466-468
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• 2002

생체 인식 기술이 발전하면서 홍채인식은 보안 분야에 널리 활용되고 있다. 그런데 홍채는 신체의 변화에 대한 신호를 나타내는 중요한 진단 수단이 된다. 따라서 홍채를 활용한 진단 시스템의 개발은 환자의 진단에 필요한 정보를 가시화 할 수 있다. 본 논문은 홍채 인식을 활용한 진단 지원 시스템이다. 홍채 영역을 추출하고 홍채 맵을 적합하고 진단에 필요한 정보를 가시화 한다. 또한 동공의 모양에 따른 정보를 제공하여 다양한 진단 지원 시스템을 구축한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.723-726
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• 2002

기존의 화상처리 방법으로는 불필요한 정보까지 포함하여 특징을 추출하여 많은 시간이 소용된다는 문제점이 있었다. 본 논문에서 적합한 HLAF 알고리즘를 이용하여 홍채 병변 인식의 수렴속도를 빠르게 하는 신경망을 사용하였으며, HLAF 알고리즘이 일반 BP 알고리즘보다 수렴속도면과 병변 추출 인식면에서 훨씬 우수함을 보였다.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.114-116
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• 2004

Biometrics consist of technologies that support automatic identification or verification of identity based on behavioral or physical traits. Biometrics can authenticate identities since they measure unique individual characteristics including fingerprints, hand geometry, iris, hand vascular patterns and facial characteristics. we review the state of the hand vascular patterns identification technology and compare other competitive authentication technologies such as cryptography, electronic signature and PKI.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.802-804
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• 2004

현재 연구되고 있는 대부분의 홍채인식 기술은 홍채영역 추출 시, 획득된 눈 영상의 기울기가 일정하다는 가정에 기초하고 있다. 그러나 머리가 일정한 기울기를 가지고 있지 않다면 인식률의 저하를 가져오게 된다. 본 논문에서는 이 문제를 보완하기 위한 방안으로, PCA를 이용하여 분산이 최대가 되는 방향을 구하고 이를 기준으로 홍채데이터를 추출하는 방법을 제안한다. 본 논문에서는 우리가 제안하는 방법을 사용하여 실제 다양한 기울기로 취득한 모든 눈 영상에 대한 실험을 한 결과, 98.97%의 인식률을 얻어 비교적 일정한 홍채영역을 추출할 수 있음을 입증하였다.

• 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.

• 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 Intelligence and Information Systems
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• v.9 no.3
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• pp.193-205
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• 2003

In this paper, we suggest user authentication and authorization system for internet banking by face recognition. The system is one of Biometrics technology to verify and authorize personnel identification and is more unobtrusive than the other technologies, because they use physiological characteristics such as fingerprint, hand geometry, iris to their system that people have to touch it. Also, the face recognition system requires only a few devices such as a camera and keypad, so it is easy to apply it to the real world. The face recognition algorithms open to the public are separated by their analysis method differ from what characteristic of the human face use. There are PCA (principal Component Analysis), ICA (Independent Component Analysis), FDA (Fisher Discriminant Analysis). Among these, physiological data of encrypted form is translated utilizing PCA which is the most fundamental algorithm that analyze face feature, and we suggests design method of user authentication system that can do send-receive fast and exactly.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.343-348
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• 2014

Face recognition system has advanctage to automatically recognize a person without causing repulsion at deteciton process. However, the face recognition system has a drawback to show lower perfomance according to illumination variation unlike the other biometric systems using fingerprint and iris. Therefore, this paper proposed a robust face recogntion method against illumination varition by slective fusion technique using both visible and infrared faces based on fuzzy linear disciment analysis(fuzzy-LDA). In the first step, both the visible image and infrared image are divided into four bands using wavelet transform. In the second step, Euclidean distance is calculated at each subband. In the third step, recognition rate is determined at each subband using the Euclidean distance calculated in the second step. And then, weights are determined by considering the recognition rate of each band. Finally, a fusion face recognition is performed and robust recognition results are obtained.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.12A
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• pp.2067-2073
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• 2001

Biometric systems are forms of technology that use unique human physical characteristics to automatically identify a person. They have sensors to pick up some physical characteristics, convert them into digital patterns, and compare them with patterns stored for individual identification. However, lip-print recognition has been less developed than recognition of other human physical attributes such as the fingerprint, voice patterns, retinal at blood vessel patterns, or the face. The lip print recognition by a CCD camera has the merit of being linked with other recognition systems such as the retinal/iris eye and the face. A new method using multi-resolution architecture is proposed to recognize a lip print from the pattern kernels. A set of pattern kernels is a function of some local lip print masks. This function converts the information from a lip print into digital data. Recognition in the multi-resolution system is more reliable than recognition in the single-resolution system. The multi-resolution architecture allows us to reduce the false recognition rate from 15% to 4.7%. This paper shows that a lip print is sufficiently used by the measurements of biometric systems.