Image understanding for iris biometrics: A survey

This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making their primary contribution to one of the four major modules in iris biometrics: image acquisition, iris segmentation, texture analysis and matching of texture representations. Other important research includes experimental evaluations, image databases, applications and systems, and medical conditions that may affect the iris. We also suggest a short list of recommended readings for someone new to the field to quickly grasp the big picture of iris biometrics.

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[77]  Natalia A. Schmid,et al.  A Model Based, Anatomy Based Method for Synthesizing Iris Images , 2006, ICB.

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[144]  Tieniu Tan,et al.  An iris image synthesis method based on PCA and super-resolution , 2004, ICPR 2004.

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[153]  Dexin Zhang,et al.  Local intensity variation analysis for iris recognition , 2004, Pattern Recognit..

[154]  Sheng-Wen Shih,et al.  Iris Recognition with Multi-Scale Edge-Type Matching , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[155]  K. Nakamura,et al.  Iris recognition by a rotation spreading neural network , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[156]  Kang Ryoung Park,et al.  A Study on Iris Image Restoration , 2005, AVBPA.

[157]  Pengfei Shi,et al.  A Novel Iris Segmentation Method for Hand-Held Capture Device , 2006, ICB.

[158]  R.W. Ives,et al.  Iris recognition using histogram analysis , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[159]  Patrick J. Flynn,et al.  Preliminary Face Recognition Grand Challenge Results , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[160]  Kang Ryoung Park,et al.  Biometric Key Binding: Fuzzy Vault Based on Iris Images , 2007, ICB.

[161]  Xin Li Modeling Intra-class Variation for Nonideal Iris Recognition , 2006, ICB.

[162]  Onsy Abdel Alim,et al.  Iris recognition using discrete wavelet transform and artificial neural networks , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[163]  Jian Fu,et al.  Use of Artificial Color filtering to improve iris recognition and searching , 2005, Pattern Recognit. Lett..

[164]  Tieniu Tan,et al.  Global Texture Analysis of Iris Images for Ethnic Classification , 2006, ICB.

[165]  Erik Reinhard,et al.  An Ocularist's Approach to Human Iris Synthesis , 2003, IEEE Computer Graphics and Applications.

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[167]  Tieniu Tan,et al.  Robust and Fast Assessment of Iris Image Quality , 2006, ICB.