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Ordinal Measures for Iris Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Images of a human iris contain rich texture information useful for identity authentication. A key and still open issue in iris recognition is how best to represent such textural information using a compact set of features (iris features). In this paper, we propose using ordinal measures for iris feature representation with the objective of ...
Zhenan Sun, Tieniu Tan
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6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07), 2007
The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for ...
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The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for ...
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A robust iris localization scheme for the iris recognition
Multimedia Tools and Applications, 2020Due to current security situations around the globe, iris biometric technology is highly preferred for both overt and covert applications. A typical iris biometric system includes image acquisition, iris segmentation, features extraction, and matching and recognition modules.
Farmanullah Jan +4 more
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Proceedings. International Conference on Image Processing, 2003
The principle that underlies the recognition of persons by their iris patterns is the failure of a test of statistical independence on texture phase structure as encoded by multiscale quadrature wavelets. The combinatorial complexity of this phase information across different persons spans about 249 degrees of freedom and generates a discrimination ...
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The principle that underlies the recognition of persons by their iris patterns is the failure of a test of statistical independence on texture phase structure as encoded by multiscale quadrature wavelets. The combinatorial complexity of this phase information across different persons spans about 249 degrees of freedom and generates a discrimination ...
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2023
A study of a human recognition by use of biometrics known as Iris Recognition is provided. Based on the technology invented by Dr. John G. Daugman, an attempt of implementing a workable system was made. Although the attempt did not succeed in every aspect, “Iris Recognition” is forecast to play a role in a wide range of other applications in which a ...
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A study of a human recognition by use of biometrics known as Iris Recognition is provided. Based on the technology invented by Dr. John G. Daugman, an attempt of implementing a workable system was made. Although the attempt did not succeed in every aspect, “Iris Recognition” is forecast to play a role in a wide range of other applications in which a ...
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Effects of iris surface curvature on iris recognition
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2013To focus on objects at various distances, the lens of the eye must change shape to adjust its refractive power. This change in lens shape causes a change in the shape of the iris surface which can be measured by examining the curvature of the iris. This work isolates the variable of iris curvature in the recognition process and shows that differences ...
Joseph Thompson +3 more
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Detection of Non-iris Region in the Iris Recognition
2008 International Symposium on Computer Science and Computational Technology, 2008In view of iris disturbance of eyelid, eyelash and reflection spot affect the accuracy of iris recognition, a detection approach of non-iris region in the iris segment is proposed. Based on mathematical morphology knowledge, the proposed method uses the least squares combined with edge detection to determine eyelid occlusion, then, eyelash and ...
Zhongliang Luo, Tusheng Lin
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3D iris structure impact on iris recognition
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015The accuracy of iris recognition systems depends on several factors such as the quality of data capture, camera angle, pupil dilation. In standoff iris recognition systems, a new biometrics research area, corneal refraction of light, depth of field blur, and the limbus effect are previously addressed as degradation factors for the iris recognition ...
Gamze Nur Cerme, Mahmut Karakaya
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A NEW APPROACH TO IRIS RECOGNITION
International Journal of Information Acquisition, 2007Iris recognition technology relates to computer vision, pattern recognition, statistical inference, and optics etc. Because the randomness of iris patterns has very high dimensionality, it is difficult to find an efficient approach to iris recognition.
Zhaobin Wang, Yide Ma, Guangzhu Xu
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A Novel Iris Recognition System
2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007Iris recognition as an emerging biometric recognition approach and itpsilas becoming a very active topic in both research and practical applications. The pattern of the human iris differs from person to person, even between monocular twins. This paper proposes a modified iris localization method and normalization method.
V. C. Subbarayudu +1 more
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