• Title/Summary/Keyword: iris features

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Fuzzy Vault System based on Iris for Protecting Cryptographic Key (암호 키의 보안을 위한 홍채 기반의 퍼지볼트 시스템)

  • Lee, Youn-Joo;Park, Kang-Ryoung;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.241-242
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    • 2007
  • In this paper, we propose a fuzzy vault system using iris data. The fuzzy vault, proposed by Juels and Sudan, has been used to protect cryptographic key with biometric information. In order to combine the fuzzy vault scheme with iris data, we used iris features extracted by ICA method and clustering technique. From our experimental results, we proved that the propose fuzzy vault system is robust to sensed environmental change.

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Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach

  • Menalsh Laishram;Satyendra Nath Mandal;Avijit Haldar;Shubhajyoti Das;Santanu Bera;Rajarshi Samanta
    • Animal Bioscience
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    • v.36 no.6
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    • pp.980-989
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    • 2023
  • Objective: Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a high-quality iris image from a constantly moving non-cooperative animal even when restrained properly. The aim of the study was to validate and identify Black Bengal goat biometrically to improve animal management in its traceability system. Methods: Forty-nine healthy, disease free, 3 months±6 days old female Black Bengal goats were randomly selected at the farmer's field. Eye images were captured from the left eye of an individual goat at 3, 6, 9, and 12 months of age using a specialized camera made for human iris scanning. iGoat software was used for matching the same individual goats at 3, 6, 9, and 12 months of ages. Resnet152V2 deep learning algorithm was further applied on same image sets to predict matching percentages using only captured eye images without extracting their iris features. Results: The matching threshold computed within and between goats was 55%. The accuracies of template matching of goats at 3, 6, 9, and 12 months of ages were recorded as 81.63%, 90.24%, 44.44%, and 16.66%, respectively. As the accuracies of matching the goats at 9 and 12 months of ages were low and below the minimum threshold matching percentage, this process of iris pattern matching was not acceptable. The validation accuracies of resnet152V2 deep learning model were found 82.49%, 92.68%, 77.17%, and 87.76% for identification of goat at 3, 6, 9, and 12 months of ages, respectively after training the model. Conclusion: This study strongly supported that deep learning method using eye images could be used as a signature for biometric identification of an individual goat.

Personal Identification Using One Dimension Iris Signals (일차원 홍채 신호를 이용한 개인 식별)

  • Park, Yeong-Gyu;No, Seung-In;Yun, Hun-Ju;Kim, Jae-Hui
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.1
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    • pp.70-76
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    • 2002
  • In this paper, we proposed a personal identification algorithm using the iris region which has discriminant features. First, we acquired the eye image with the black and white CCD camera and extracted the iris region by using a circular edge detector which minimizes the search space for real center and radius of the iris. And then, we localized the iris region into several circles and extracted the features by filtering signals on the perimeters of circles with one dimensional Gabor filter We identified a person by comparing ,correlation values of input signals with the registered signals. We also decided threshold value minimizing average error rate for FRR(Type I)error rate and FAR(Type II)error rate. Experimental results show that proposed algorithm has average error rate less than 5.2%.

Cancelable Iris Templates Using Index-of-Max Hashing (Index-of-Max 해싱을 이용한 폐기가능한 홍채 템플릿)

  • Kim, Jina;Jeong, Jae Yeol;Kim, Kee Sung;Jeong, Ik Rae
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.3
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    • pp.565-577
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    • 2019
  • In recent years, biometric authentication has been used for various applications. Since biometric features are unchangeable and cannot be revoked unlike other personal information, there is increasing concern about leakage of biometric information. Recently, Jin et al. proposed a new cancelable biometric scheme, called "Index-of-Max" (IoM) to protect fingerprint template. The authors presented two realizations, namely, Gaussian random projection-based and uniformly random permutation-based hashing schemes. They also showed that their schemes can provide high accuracy, guarantee the security against recently presented privacy attacks, and satisfy some criteria of cancelable biometrics. However, the authors did not provide experimental results for other biometric features (e.g. finger-vein, iris). In this paper, we present the results of applying Jin et al.'s scheme to iris data. To do this, we propose a new method for processing iris data into a suitable form applicable to the Jin et al.'s scheme. Our experimental results show that it can guarantee favorable accuracy performance compared to the previous schemes. We also show that our scheme satisfies cancelable biometrics criteria and robustness to security and privacy attacks demonstrated in the Jin et al.'s work.

Iris Feature Extraction using Independent Component Analysis (독립 성분 분석 방법을 이용한 홍채 특징 추출)

  • 노승인;배광혁;박강령;김재희
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.6
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    • pp.20-30
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    • 2003
  • In a conventional method based on quadrature 2D Gator wavelets to extract iris features, the iris recognition is performed by a 256-byte iris code, which is computed by applying the Gabor wavelets to a given area of the iris. However, there is a code redundancy because the iris code is generated by basis functions without considering the characteristics of the iris texture. Therefore, the size of the iris code is increased unnecessarily. In this paper, we propose a new feature extraction algorithm based on the ICA (Independent Component Analysis) for a compact iris code. We implemented the ICA to generate optimal basis functions which could represent iris signals efficiently. In practice the coefficients of the ICA expansions are used as feature vectors. Then iris feature vectors are encoded into the iris code for storing and comparing an individual's iris patterns. Additionally, we introduce two methods to enhance the recognition performance of the ICA. The first is to reorganize the ICA bases and the second is to use a different ICA bases set. Experimental results show that our proposed method has a similar EER (Equal Error Rate) as a conventional method based on the Gator wavelets, and the iris code size of our proposed methods is four times smaller than that of the Gabor wavelets.

The Study on the Silver Fashion Icon Iris Apfel's Fashion Style (실버 패션 아이콘 Iris Apfel의 패션 스타일에 관한 연구)

  • Kim, Janghyeon;Kim, Youngsam
    • Journal of Fashion Business
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    • v.24 no.3
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    • pp.101-113
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    • 2020
  • This study considers aesthetic characteristics by examining the fashion style of the silver fashion icon Iris Apfel. The research methods were a quantitative and qualitative analysis of Iris Apfel's images that were collected from 2015 to 2019 on various web-sites according to four criterions following advanced research analysis of fashion style. The results of the study are as follows. The analysis results on the fashion style of Iris Apfel, an icon of silver style, showed that cocoon, barrel and A-line silhouettes appeared most in terms of silhouettes. Second, in terms of colors, achromatic colors dominated among solid colors while one particular vivid color appeared most it came to mixed color. In terms of multi colors, these appeared according to the patterns applied to her clothing, in particular, colorful colors were used to emphasize splendor. Third, flower, bird and geometric patterns appeared most in terms of material patterns. Lastly, it was found that white short cut hair, large necklaces or bangle bracelets, over-sized black glasses and fur mufflers or canes were used in terms of hair and accessories. The features derived through analysis of the fashion style of Iris Apfel, an icon of silver style, are as follows. The first feature is exaggeration through splendid primary colors and over-sized silhouettes. The second feature is the hybrid of modern composition methods using natural images and exotic preferences. The third feature is her representation of identity using fixed items.

Periocular Recognition Using uMLBP and Attribute Features

  • Ali, Zahid;Park, Unsang;Nang, Jongho;Park, Jeong-Seon;Hong, Taehwa;Park, Sungjoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.12
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    • pp.6133-6151
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    • 2017
  • The field of periocular biometrics has gained wide attention as an alternative or supplemental means to conventional biometric traits such as the iris or the face. Periocular biometrics provide intermediate resolution between the iris and the face, which enables it to support both. We have developed a periocular recognition system by using uniform Multiscale Local Binary Pattern (uMLBP) and attribute features. The proposed system has been evaluated in terms of major factors that need to be considered on a mobile platform (e.g., distance and facial pose) to assess the feasibility of the use of periocular biometrics on mobile devices. Experimental results showed 98.7% of rank-1 identification accuracy on a subset of the Face Recognition Grand Challenge (FRGC) database, which is the best performance among similar studies.

Detecting Shot Boundaries of Dynamic Images Using Certainty Factors (확신도를 이용한 동영상의 화면변환 감지)

  • Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.12
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    • pp.5902-5909
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    • 2011
  • In this paper, we propose a new method to detect abrupt and gradual shot transitions of video data by using certainty factors. The abrupt transitions denotes cuts and the gradual transitions fade in, fade out, dissolve, horizontal wipes, vertical wipes, Barn Doors, and Iris Rounds. The suggested method first extracts representative features for each shot transition and determines corresponding shot transitions by integrating all the extracted features and inferring adequate transitions. To verify the performance of the proposed shot transition method, experimental results show that the suggested method can detect shot transitions more accurately than existing methods.

Multimodal System by Data Fusion and Synergetic Neural Network

  • Son, Byung-Jun;Lee, Yill-Byung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.2
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    • pp.157-163
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    • 2005
  • In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.

Iris Verification Using Pattern Features in Iris Radii (홍채반지름별 패턴특징에 따른 홍채검증)

  • 조성원;김태훈
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.170-174
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    • 2000
  • 본 논문의 목적은 여러 생리학적 특징중 높은 신뢰성을 갖는 것으로 알려진 홍채로부터 고유한 특징을 추출하고, 인식/검증하는 알고리즘을 개발하는데 있다. 홍채패턴은 크게 주름과 주름내부의 패턴부분으로 구성되며 그 고유한 패턴은 주로 내부에 집중되어 있다. 본 논문에서는 홍채의 주름윤곽과 주름내부의 패턴 특징의 추출을 위해, 동공중심을 기준으로 반지름길이에 따라 홍채영역을 분리하여 ID신호를 추출하여 특징으로 사용하였으며, 전처리부에서는 thresholding 방법에 의해 안구로부터 홍채영상을 획득하고, 획득된 반지름별 ID 홍채특징으로부터 매칭시험을 수행하였다. 제안된 방법은 주름윤곽으로부터 ID 특징신호를 사용한 방법에서 무시한 홍채내부 패턴을 고려하였으며, 홍채 전체영역에 대해 2D 웨이블렛을 이용한 홍채특징추출 방법과 비교시보다 신속한 특징추출이 가능하다.

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