• Title/Summary/Keyword: iris features

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Concealment of iris features based on artificial noises

  • Jiao, Wenming;Zhang, Heng;Zang, Qiyan;Xu, Weiwei;Zhang, Shuaiwei;Zhang, Jian;Li, Hongran
    • ETRI Journal
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    • v.41 no.5
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    • pp.599-607
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    • 2019
  • Although iris recognition verification is considered to be the safest method of biometric verification, studies have shown that iris features may be illegally used. To protect iris features and further improve the security of iris recognition and verification, this study applies the Gaussian and Laplacian mechanisms and to hide iris features by differentiating privacy. The efficiency of the algorithm and evaluation of the image quality by the image hashing algorithm are selected as indicators to evaluate these mechanisms. The experimental results indicate that the security of an iris image can be significantly improved using differential privacy protection.

A Fake-Iris Detection Method using SVDD (단일 클래스 분류기를 이용한 위조 홍채 검출 방법)

  • Lee, Sung-Joo;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.287-288
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    • 2007
  • In this paper, we propose a fake-iris detection method. In order to detect the fake-iris, we measure physiological features which are the reflectance ratio of the iris to the sclera at 750 nm and that at 850nm. In order to classify live and fake iris features, we use support vector data description (SVDD). From our experimental results, it is clear that our fake-iris detection method achieves high performance when distinguishing between a live-iris and a fake-iris.

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Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye

  • Lee, Eui Chul;Son, Sung Hoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.9
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    • pp.2424-2441
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    • 2012
  • In this paper, we propose a fake iris detection method that combines the optical and textural features of the human eye. To extract the optical features, we used dual Purkinje images that were generated on the anterior cornea and the posterior lens surfaces based on an analytic model of the human eye's optical structure. To extract the textural features, we measured the amount of change in a given iris pattern (based on wavelet decomposition) with regard to the direction of illumination. This method performs the following two procedures over previous researches. First, in order to obtain the optical and textural features simultaneously, we used five illuminators. Second, in order to improve fake iris detection performance, we used a SVM (Support Vector Machine) to combine the optical and textural features. Through combining the features, problems of single feature based previous works could be solved. Experimental results showed that the EER (Equal Error Rate) was 0.133%.

A Novel Eyelashes Removal Method for Improving Iris Data Preservation Rate (홍채영역에서의 홍채정보 보존율 향상을 위한 새로운 속눈썹 제거 방법)

  • Kim, Seong-Hoon;Han, Gi-Tae
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.10
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    • pp.429-440
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    • 2014
  • The iris recognition is a biometrics technology to extract and code an unique iris feature from human eye image. Also, it includes the technology to compare with other's various iris stored in the system. On the other hand, eyelashes in iris image are a external factor to affect to recognition rate of iris. If eyelashes are not removed exactly from iris area, there are two false recognitions that recognize eyelashes to iris features or iris features to eyelashes. Eventually, these false recognitions bring out a lot of loss in iris informations. In this paper, in order to solve that problems, we removed eyelashes by gabor filter that using for analysis of frequency feature and improve preservation rate of iris informations. By novel method to extract various features on iris area using angle, frequency, and gaussian parameter on gabor filter that is one of the filters for analysing frequency feature for an image, we could remove accurately eyelashes with various lengths and shapes. As the result, proposed method represents that improve about 4% than previous methods using GMM or histogram analysis in iris preservation rate.

A Study on Reconstruction Vulnerability of Daugman's Iriscode

  • Youn, Soung-Jo;Anusha, B.V.S;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.35-40
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    • 2019
  • In this paper, we propose a technique to reconstruct the iris image from the iris code by analyzing the process of generating the iris code and calculating it inversely. Iris recognition is an authentication method for authenticating an individual's identity by using iris information of an eye having unique information of an individual. The iris recognition extracts the features of the iris from the iris image, creates the iris code, and determines whether to authenticate using the corresponding code. The iris recognition method using the iris code is a method proposed by Daugman for the first time and is widely used as a representative method of iris recognition technology currently used commercially. In this paper, we restore the iris image with only the iris code, and test whether the reconstructed image and the original image can be recognized, and analyze restoration vulnerability of Daugman's iris code.

Extraction of Iris Codes for Personal Identification Using an Iris Image (홍채를 이용한 생체인식 코드 추출)

  • Yang, Woo Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.6
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    • pp.1-7
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    • 2008
  • In this paper, we introduce a new technology to extract the unique features from an iris image, which uses scale-space filtering. Resulting iris code can be used to develop a system for rapid and automatic human identification with high reliability and confidence levels. First, an iris part is separated from the whole image and the radius and center of the iris are evaluated. Next, the regions that have a high possibility of being noise are discriminated and the features presented in the highly detailed pattern are then extracted. In order to conserve the original signal while minimizing the effect of noise, scale-space filtering is applied. Experiments are performed using a set of 272 iris images taken from 18 persons. Test results show that the iris feature patterns of different persons are clearly discriminated from those of the same person.

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Invariant Iris Code extraction for generating cryptographic key based on Fuzzy Vault (퍼지볼트 기반의 암호 키 생성을 위한 불변 홍채코드 추출)

  • Lee, Youn-Joo;Park, Kang-Ryoung;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.321-322
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    • 2006
  • In this paper, we propose a method that extracts invariant iris codes from user's iris pattern in order to apply these codes to a new cryptographic construct called fuzzy vault. The fuzzy vault, proposed by Juels and Sudan, has been used to manage cryptographic key safely by merging with biometrics. Generally, iris data has intra-variation of iris pattern according to sensed environmental changes, but cryptography requires correctness. Therefore, to combine iris data and fuzzy vault, we have to extract an invariant iris feature from iris pattern. In this paper, we obtain invariant iris codes by clustering iris features extracted by independent component analysis(ICA) transform. From experimental results, we proved that the iris codes extracted by our method are invariant to sensed environmental changes and can be used in fuzzy vault.

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Feature Extraction for Iris Recognition Using Scale-Space Filtering (스케일 스페이스 필터링을 이용한 홍채 특징 추출)

  • Hong, Jin-Il;Kim, Dong-Min;Yang, Woo-S.
    • Journal of IKEEE
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    • v.6 no.2 s.11
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    • pp.169-177
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    • 2002
  • In this paper, we introduce a new technology to extract the unique features from an iris image, which uses scale-space filtering. Resulting iris code can be used to develop a system for rapid and automatic identification of persons, with high reliability and confidence levels. First, an iris part is separated from the whole image. Then the radius and center of the iris are obtained. Once the regions that have a high possibility of being noise are discriminated, the features presented in the highly detailed pattern is then extracted from the iris image. Scale-space filtering technique is applied for feature extraction.

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A Study on the Development of Digital Fashion Design Applying Iris Van Herpen's Formative Features - Focusing on Using the Scamper Technique - (아이리스 반 헤르펜의 조형 특징을 적용한 디지털 패션디자인 개발 연구 -스캠퍼 기법 활용을 중심으로-)

  • Xing LiLi;Youngjae Lee
    • Journal of Fashion Business
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    • v.27 no.4
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    • pp.67-87
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    • 2023
  • This study analyzed the fashion design features of Iris van Herpen and createdsixdigital fashion designsusing the SCAMPER technique with 3D clothing design software, incorporating a futuristic theme. The research methodology involvedcase analysis and a literature survey. First, the study summarizedthe design style and characteristics of Iris van Herpen. Second, a design concept wasestablished, and a design mood board wascreated. Third, the resulting design features were combined with the SCAMPER technique to incorporate Iris van Herpen's design elements intonew digital fashion designs. Fourth, after discussion with the professor and expert group, six designs were selected for production. They includededgy suit coats, overcoats, asymmetrical hoodies and asymmetrical skirts, irregularly shaped tops, dresses, leggings, jackets,and fishtail skirts. This study provides a reference for the future development of digital fashion designs and showcases the integration of science and technology in fashion design.

Implementation of Embedded System for a Fast Iris Identification Based on USN (고속의 홍채인식을 위한 USN기반의 임베디드 시스템 구현)

  • Kim, Shin-Hong;Kim, Shik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.4 no.4
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    • pp.190-194
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    • 2009
  • Iris recognition is a biometric technology which can identify a person using the iris pattern. Recently, using iris information is used in many fields such as access control and information security. But Perform complex operations to extract features of the iris. Because high-end hardware for real-time iris recognition is required. This paper is appropriate for the embedded environment using local gradient histogram embedded system with iris feature extraction methods based on USN(Ubiquitous Sensor Network). Experimental results show that the performance of proposed method is comparable to existing methods using Gabor transform noticeably improves recognition performance and it is noted that the processing time of the local gradient histogram transform is much faster than that of the existing method and rotation was also a strong attribute.

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