• 제목/요약/키워드: Signature Recognition

검색결과 82건 처리시간 0.028초

The Genealogical Study on Electronic Bill of Lading

  • LEE, Bong-Soo
    • 무역상무연구
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    • 제69권
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    • pp.349-370
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    • 2016
  • This thesis examines the problems faced in the electronic bill of lading for which improvements are necessary, and suggests various ways of overcoming those problems. First, to build a negotiation system for electronic B/Ls, active participation from related parties in addition to the government support is essential. Second, electronic B/Ls cannot be utilized within a short period of time in current commercial practices. Third, there should be infrastructure which connects all parties of international commerce through an electronic system. Fourth, instead of promoting mutual recognition through international treaty, there should be a plan which legally specifying mutual recognition between certification authorities. Fifth, it is needed to ease the strictness of electronic signature to promote the global negotiation of electronic B/Ls. Lastly, in prima facie weight of evidence, there was a significant difference with the Rotterdam Rules even in comparison with the Commercial Act which was amended with the significantly advanced rules on electronic B/L. He believed there should be a discreet consideration on these matters at the revision of the Commercial Act. For this, the government has to provide support more aggressively with more interest and commitments.

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손정맥 패턴 추출에 관한 연구 (A Study of the extraction of a Hand Vein Pattern)

  • 김종석;백한욱;정진현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3022-3024
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    • 2000
  • Biometrics is the electronic recognition of individuals achieved through a process of extracting, and then verifying, features which are unique to that individual. This field is rapidly evolving technology that has to be widely adopted in a broad range of applications. Many methods have been studied such as extraction of the facial features, the voice, the vein and even a person's signature. Among biometrics, a hand veins provide large, robust, stable, hidden biometric features. Hand vein patterns have been proven to be absolutely unique by Cambridge Consultants Ltd. Because of this advantage, hand vein recognition are recently developing field in the field of a security.

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Survey on Detection and Recognition of Road Marking

  • Vokhidov, Husan;Hong, Hyung Gil;Hoang, Toan Minh;Kang, JinKyu;Park, Kang Ryoung;Cho, Hyeong Oh
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2015년도 추계학술발표대회
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    • pp.1408-1410
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    • 2015
  • Information about the painted road markings and other painted road objects play an important part in keeping safety of drivers. Some researchers have presented research approaches and dealt with road markings detection. In this paper, we present comprehensive survey of these techniques, and review some of them like a machine learning method, template matching method for road markings detection and classification, method of detection and classification of road markings using curve-based prototype fitting, signed edge signature method.

A study on Iris Recognition using Wavelet Transformation and Nonlinear Function

  • Hur, Jung-Youn;Truong, Le Xuan
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
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    • pp.553-559
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    • 2004
  • In todays security industry, personal identification is also based on biometric. Biometric identification is performed basing on the measurement and comparison of physiological and behavioral characteristics, Biometric for recognition includes voice dynamics, signature dynamics, hand geometry, fingerprint, iris, etc. Iris can serve as a kind of living passport or living password. Iris recognition system is the one of the most reliable biometrics recognition system. This is applied to client/server system such as the electronic commerce and electronic banking from stand-alone system or networks, ATMs, etc. A new algorithm using nonlinear function in recognition process is proposed in this paper. An algorithm is proposed to determine the localized iris from the iris image received from iris input camera in client. For the first step, the algorithm determines the center of pupil. For the second step, the algorithm determines the outer boundary of the iris and the pupillary boundary. The localized iris area is transform into polar coordinates. After performing three times Wavelet transformation, normalization was done using sigmoid function. The converting binary process performs normalized value of pixel from 0 to 255 to be binary value, and then the converting binary process is compare pairs of two adjacent pixels. The binary code of the iris is transmitted to the by server. the network. In the server, the comparing process compares the binary value of presented iris to the reference value in the University database. Process of recognition or rejection is dependent on the value of Hamming Distance. After matching the binary value of presented iris with the database stored in the server, the result is transmitted to the client.

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Early warning of hazard for pipelines by acoustic recognition using principal component analysis and one-class support vector machines

  • Wan, Chunfeng;Mita, Akira
    • Smart Structures and Systems
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    • 제6권4호
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    • pp.405-421
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    • 2010
  • This paper proposes a method for early warning of hazard for pipelines. Many pipelines transport dangerous contents so that any damage incurred might lead to catastrophic consequences. However, most of these damages are usually a result of surrounding third-party activities, mainly the constructions. In order to prevent accidents and disasters, detection of potential hazards from third-party activities is indispensable. This paper focuses on recognizing the running of construction machines because they indicate the activity of the constructions. Acoustic information is applied for the recognition and a novel pipeline monitoring approach is proposed. Principal Component Analysis (PCA) is applied. The obtained Eigenvalues are regarded as the special signature and thus used for building feature vectors. One-class Support Vector Machine (SVM) is used for the classifier. The denoising ability of PCA can make it robust to noise interference, while the powerful classifying ability of SVM can provide good recognition results. Some related issues such as standardization are also studied and discussed. On-site experiments are conducted and results prove the effectiveness of the proposed early warning method. Thus the possible hazards can be prevented and the integrity of pipelines can be ensured.

The Biometric based Mobile ID and Its Application to Electronic Voting

  • Yun, Sung-Hyun;Lim, Heui-Seok
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권1호
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    • pp.166-183
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    • 2013
  • It requires a lot of costs and manpower to manage an election. The electronic voting scheme can make the election system economic and trustful. The widespread use of smart phones causes mobile voting to be a major issue. The smart phone can be used as a mobile voting platform since it can carry out many services in addition to basic telephone service. To make mobile voting practical and trustful, we analyzed two subjects of study. Firstly, the way to make a biometric based mobile ID, which has legal binding forces. In mobile voting, user identification is accomplished on line since the voter should be able to vote wherever they go. The digital ID conducts a similar role to the need for a resident card. The user's identity is bound to the resident card legally. To bind the user's identity to the smart phone, we use USIM. Biometric recognition is also needed to authenticate the user, since the user cannot prove him or her on line face-to-face. The proposed mobile ID can be reissued by means of introducing a random secret value. Secondly, the mobile voting scheme is proposed where candidates can accept election results without doubt. The goal of an election is to select a leader among two or more candidates. Existing electronic voting schemes mainly focus on the study of ballot verification accomplished by voters. These approaches are not safe against collusion attacks where candidates and the election administration center are able to collude to fabricate election results. Therefore, a new type of voting and counting method is needed where candidates can directly take part in voting and counting stages. The biometric based multi-signature scheme is used to make the undeniable multi-signed ballot. The ballot cannot be verified without the help of all candidates. If candidates accept election results without a doubt, the fairness of the election is satisfied.

지문 인식을 이용하여 공인인증서의 보안 요건을 만족하는 전자 신분증 시스템의 설계 (Design of Electronic ID System Satisfying Security Requirements of Authentication Certificate Using Fingerprint Recognition)

  • 이종호;이성수
    • 전기전자학회논문지
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    • 제19권4호
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    • pp.610-616
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    • 2015
  • 본 논문에서는 지문 인식을 이용하여 공인인증서의 보안 조건을 만족하는 전자 신분증 시스템을 설계 및 개발하였다. 제안하는 전자 신분증 시스템은 지문 정보를 사용하여 위변조 불가, 기밀성, 무결성, 본인 인증 (=부인 방지)등의 기능을 가진 전자서명문을 생성하고, 이를 암호화, 전송 및 검증한다. 제안하는 전자 신분증 시스템은 사용자 암호 대신에 지문을 사용하여 유출 및 탈취를 피하면서도 기존의 공인인증서와 동일한 법적 효력을 가진다. 제안하는 전자 신분증 시스템은 HSM 디바이스, 검증 서버, CA 서버, RA 클라이언트의 4개 모듈로 설계하였으며 각 모듈의 프로토타입이 정상적으로 동작하는 것을 확인하였다.

PCA를 이용한 3차원 얼굴인식 모델에 관한 연구 : 모델 구조 비교연구 및 해석 (A Study On Three-dimensional Face Recognition Model Using PCA : Comparative Studies and Analysis of Model Architectures)

  • 박찬준;오성권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2015년도 제46회 하계학술대회
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    • pp.1373-1374
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    • 2015
  • 본 논문은 복잡한 비선형 모델링 방법인 다항식 기반 RBF 뉴럴 네트워크(Radial Basis Function Neural Network)와 벡터공간에서 임의의 비선형 경계를 찾아 두 개의 집합을 분류하는 방법으로 주어진 조건하에서 수학적으로 최적의 해를 찾는 SVM(Support Vector Machine)를 사용하여 3차원 얼굴인식 모델을 설계하고 두 모델의 3차원 얼굴 인식률을 비교한다. 3D스캐너를 통해 3차원 얼굴형상을 획득하고 획득한 영상을 전처리 과정에서 포인트 클라우드 정합과 포즈보상을 수행한다. 포즈보상 통해 정면으로 재배치한 영상을 Multiple Point Signature기법을 이용하여 얼굴의 깊이 데이터를 추출한다. 추출된 깊이 데이터를 RBFNN과 SVM의 입력패턴과 출력으로 선정하여 모델을 설계한다. 각 모델의 효율적인 학습을 위해 PCA 알고리즘을 이용하여 고차원의 패턴을 축소하여 모델을 설계하고 인식 성능을 비교 및 확인한다.

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서명기반의 유비쿼터스 생체인식시스템 구현 (Ubiquitous Biometrics Recognition System Based on the Signature)

  • 권만준;양동화;전명근
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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    • pp.431-434
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    • 2005
  • 본 논문은 유비쿼터스 컴퓨팅 환경 기반에서의 서명인식 시스템 구현을 기술한다. 구현된 시스템은 PDA와 전자 서명입력기를 이용하여 서명데이터를 획득하고 이 데이터를 유비쿼터스 환경인 무선랜을 이용하여 인증 서버로 전송하여 서버로부터 인증된 결과를 받도록 하였다. 본 시스템의 구성은 터치 스크린을 통한 서명입력이 가능한 PDA와 전자서명입력기를 장착한 무선단말기를 사용하는 클라이언트 부분과 서명을 검증하는 서버 부분으로 나누어 구현 하였다. 본 논문에서 인식알고리즘으로는 서명영상을 구간분할한 후 PCA와 LDA를 사용하여 특징값을 추출한다. 학습과정에서 미리 구한 고유값을 이용하여 서명입력기로부터 획득한 서명데이터를 같은 공간에 투영시켜 서로간의 유사도를 비교하도록 하여 서명인식 속도 및 성능을 개선하였다.

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디지털 영상처리기법에 의한 심흉곽 계수측정 (A measurement of Cardio thoracic ratio by Digital Image processing)

  • 유동주;김홍오;허웅;홍승홍
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1989년도 춘계학술대회
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    • pp.23-26
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    • 1989
  • This paper describes the automatic recognition technique for heart enlargement diagnosis with the chest X-ray films enhanced by digital image processing. The technique measures a maximum transverse of the daiphragm and a maximum transverse of the heart by means of direction signature algorithms, then calculates the desired ratio of these two measured values. This is often refered to a cadiothoracic ratio which gives as useful clue for heart enlargement symptom. The experiment results in this paper show presented method is more efficient than the manual diagnosis method of the symptom.

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