• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.271-274
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• 2013

From February 18, 2013, an information and communications service provider, we will not be able to collect the resident registration number by paragraph 2 of Article 23 of the Act on the Promotion of the use and protection of information and information network. Rather than a revision in accordance with resident registration number, than these laws, it had been used in the alternative, such as OTP authentication phone authentication I-PIN authentication of certificates that are recognized as such authentication. In this paper, we propose a new online identity authentication technology was and Utilization of IMEI, the OTP to introduce online identity authentication technology replacing the resident registration number.

• Journal of Software Engineering Society
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• v.25 no.1
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• pp.19-28
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• 2012

Personal registration number has been used as a means of personal identification on existing internet. However, its use on internet sites has become a major factor increasing danger of leaking of personal information. Presently, the government recommends i-PIN to minimize the collection of personal registration numbers and leaking of personal information on internet. Original purpose of i-PIN is to recognize persons by its virtual number of 13 digits instead of using personal registration number on internet websites. These days, i-PIN continues to be used increasingly as a form of certification. This study seeks to explore software service methodology of using i-PIN as a form of certification on internet websites and examples in which its other forms of self certification are used than existing i-PIN services.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.145-185
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• 2007

A resident registration number is used to confirm and prove his/her identity in a government/non-governmental agency. It is a essential requirement to become the registered member on internet website in Korea. It is serious problem that the resident registration number and name are outflowed in internet and misused by others. So the MIC(Ministry of Information and Communication) in Korea plans and operates the identification system using I-PIN that integrate 5 alternative methods of resident registration number. In this paper, we analyze the problem about the method of 5 I-PIN services and show the security analysis on the implementation vulnerabilities of I-PIN services. we also analyze 17 websites that provides identification system using I-PIN. Finally, we analyze the overall problem of I-PIN service and propose the countermeasure about the problem.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.453-462
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• 2021

As the status of public certificates expired due to the recent revision of the Electronic Signature Act, electronic signature-based public certificates were also lost in the means of replacing resident registration numbers(RRN). As a result, public certification institutions have recently been designated by the Korea Communications Commission as identity verification service providers through a review of the designation of personal identity proofing agency based on alternative means of RRN. However, unlike existing RRN replacements such as i-PIN, mobile phones, and credit cards, the personal identity proofing process for applicants for certificates is different from existing alternatives. The proposed method shows that it is possible to protect users' personal information and provide universal, reasonable, and safe identification services by applying improvements to electronic signature-based personal identity proofing services.

• Review of KIISC
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• v.20 no.6
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• pp.88-95
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• 2010

정부는 계속되는 대량 개인정보 침해사고로 인한 피해를 방지하고 인터넷상 무분별한 주민등록번호 사용을 최소화하기 위하여 2005년부터 아이핀을 개발하여 보급중이나 대부분의 웹사이트가 주민등록번호 기반으로 개발되어 아이핀 도입 및 활용이 미흡한 상황이다. 본 논문에서는 지금까지 아이핀 서비스가 활성화되지 못한 기술적 원인을 분석하고, 최근 편이성 대폭 개선된 아이핀 2.0의 주요 서비스와 향후 개선 방향을 소개함으로써 초창기 아이핀 서비스에 대한 오해를 개선하고자 한다.

• Digital Contents
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• no.7 s.134
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• pp.76-78
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• 2004

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.9
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• pp.1786-1792
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• 2007

In this paper, we proposed a recognition system for resident registration cards using ART-1 and PCA algorithm. To extract registration numbers and issue date, Sobel mask and median filter are applied first and noise removal follows. From the noise-removed image, horizontal smearing is used to extract the regions, which are binarized with recursive binarization algorithm. After that vortical smearing is applied to restore corrupted lesions, which are mainly due to the horizontal smearing. from the restored image, areas of individual codes are extracted using 4-directional edge following algorithm and face area is extracted by the morphologic characteristics of a registration card. Extracted codes are recognized using ART-1 algorithm and PCA algorithm is used to verify the face. When the proposed method was applied to 25 real registration card images, 323 characters from 325 registration numbers and 166 characters from 167 issue date numbers, were correctly recognized. The verification test with 25 forged images showed that the proposed verification algorithm is robust to detect forgery.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.526-535
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• 2005

우리나라의 주민등록증은 주소지, 주민등록 변호, 얼굴사진, 지문 등 개개인의 방대한 정보를 가진다. 현재의 플라스틱 주민등록증은 위조 및 변조가 쉽고 날로 전문화 되어가고 있다. 따라서 육안으로 위조 및 변조 사실을 쉽게 확인하기가 어려워 사회적으로 많은 문제를 일으키고 있다. 이에 본 논문에서는 주민등록증 영상을 자동 인식할 수 있는 개선된 ART2 기반 RBF 네트워크와 얼굴인증을 이용한 주민등록증 자동 인식 방법을 제안한다. 제안된 방법은 주민등록증 영상에서 주민등록번호와 발행일을 추출하기 위하여 영상을 소벨마스크와 미디언 필터링을 적용한 후에 수평 스미어링을 적용하여 주민등록번호와 발행일 영역을 검출한다. 그리고 4 방향 윤곽선 추적 알고리즘으로 개별 문자를 추출하기 위한 전 단계로 주민등록증 영상에 대해 고주파 필터링을 적용하여 주민등록증 영상 전체를 이진화 한다. 이진화된 주민등록영상에서 COM 마스크를 적용하여 주민등록번호와 발행일 코드를 복원하고 검출된 각 영역에 대해 4 방향 윤곽선 추적 알고리즘으로 개별 문자를 추출한다. 추출된 개별 문자는 개선된 ART2 기반 RBF 네트워크를 제안하여 인식에 적용한다. 제안된 ART2 기반 RBF 네트워크는 학습 성능을 개선하기 위하여 중간충과 출력층의 학습에 퍼지 제어 기법을 적용하여 학습률을 동적으로 조정한다. 얼굴인증은 템플릿 매칭 알고리즘을 이용하여 얼굴 템플릿 데이터베이스를 구축하고 주민등록증애서 추출된 얼굴영역과의 유사도를 측정하여 주민등록증 얼굴 영역의 위조여부를 판별한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.313-318
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• 2006

본 논문에서는 ART-1 기반 자가 생성 지도학습 알고리즘과 얼굴 인증을 이용한 주민등록증 인식방법을 제안한다. 본 논문에서는 주민등록증 영상에서 주민등록번호와 발행일을 추출하기 위해, 획득된 주민등록증의 영상에서 Sobel Mask와 Median Filter를 이용하여 윤곽선을 추출하고 잡음을 제거한 후, 수평 스미어링을 적용하여 주민등록번호와 발행일 영역을 각각 추출한다. 그리고 고주파 필터링을 적용하여 추출된 영역을 이진화하고 4방향 윤곽선 추적 알고리즘을 적용하여 개별 코드를 추출한다. 추출된 개별 코드는 ART-1 기반 자가 생성 지도학습 알고리즘을 적용하여 인식한다. 얼굴 인증은 Template Matching 방법을 적용하여 Face Template Database를 구축하고, 획득된 주민등록증의 얼굴 영역과의 유사도를 측정하여 주민등록증의 사진 위조 여부를 판별한다. 제안된 주민등록증 인식 방법의 성능을 평가하기 위해 10개의 주민등록증을 대상으로 실험하였고 원본 주민등록증 영상에서 사진과 얼굴 부분을 위조한 주민등록증에 대해 얼굴 인증 실험을 하였다. 실험을 통해 제안된 방법이 주민등록번호 인식 및 얼굴 인증에 있어서 우수한 성능이 있음을 확인하였다.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.1-15
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• 2006

In Korea, a resident registration card has various personal information such as a present address, a resident registration number, a face picture and a fingerprint. A plastic-type resident card currently used is easy to forge or alter and tricks of forgery grow to be high-degree as time goes on. So, whether a resident card is forged or not is difficult to judge by only an examination with the naked eye. This paper proposed an automatic recognition method of a resident card which recognizes a resident registration number by using a refined ART2-based RBF network newly proposed and authenticates a face picture by a template image matching method. The proposed method, first, extracts areas including a resident registration number and the date of issue from a resident card image by applying Sobel masking, median filtering and horizontal smearing operations to the image in turn. To improve the extraction of individual codes from extracted areas, the original image is binarized by using a high-frequency passing filter and CDM masking is applied to the binaried image fur making image information of individual codes better. Lastly, individual codes, which are targets of recognition, are extracted by applying 4-directional contour tracking algorithm to extracted areas in the binarized image. And this paper proposed a refined ART2-based RBF network to recognize individual codes, which applies ART2 as the loaming structure of the middle layer and dynamicaly adjusts a teaming rate in the teaming of the middle and the output layers by using a fuzzy control method to improve the performance of teaming. Also, for the precise judgement of forgey of a resident card, the proposed method supports a face authentication by using a face template database and a template image matching method. For performance evaluation of the proposed method, this paper maked metamorphoses of an original image of resident card such as a forgey of face picture, an addition of noise, variations of contrast variations of intensity and image blurring, and applied these images with original images to experiments. The results of experiment showed that the proposed method is excellent in the recognition of individual codes and the face authentication fur the automatic recognition of a resident card.