Person Identification Technique Using Human Iris Recognition
By C. Tisse, Lionel Martin, L. Torres, M. Robert. 2002
613 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/717c518c7969a6ccd4a23cd2ff8cb7faa1220e0b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kevin W. Bowyer
- Tien-Ping Tan
- Mayank Vatsa
- Li Ma
- Yunhong Wang
- Karen Hollingsworth
- Patrick J. Flynn
- Richa Singh
Citations in the corpus
- Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing (2008, background): “7 contain minimum occlusion due to eyelids and eyelashes, and hence are the most useful for iris recognition [4], [9], [22].”
- Ordinal Measures for Iris Recognition (2009, methodology): “Other iris representation methods include emergent frequency and instantaneous phase [7], local texture energy orientation [8], Haar wavelet frame decomposition [9], multiscale zero-crossing representation [10], normalized directional energy feature [11], Haar wavelet binary features [12],…”
- Image understanding for iris biometrics: A survey (2008, methodology): “Several authors have chosen to omit part of the iris region near the limbic boundary from their analysis [158,93,101].”
- Toward Accurate and Fast Iris Segmentation for Iris Biometrics (2009, unknown): “ITH the increasing demands of security in our daily life, iris recognition has rapidly become a hot research topic for its potential application values in personal identification [1], [3], [8], [9], [12].”
- Efficient iris recognition by characterizing key local variations (2004, methodology): “Tisse et al. [20] analyzed the iris characteristics using the analytic image constructed by the original image and its Hilbert transform.”
- An Effective Approach for Iris Recognition Using Phase-Based Image Matching (2008, background): “Among many biometric techniques, iris recognition is one of the most promising approaches due to its high reliability for personal identification [1], [2], [3], [4], [5], [6], [7], [8], [9].”
- Recognition of Human Iris Patterns for Biometric Identification (2003, unknown): “[12], and Ma et al.”
- Personal Identification Based on Iris Texture Analysis (2003, background): “3, the second image is out of focus, the third one contains many noticeable interlacing lines (especially in regions close to the boundary) caused by eye motion, and the last one is an example of severe occlusions by eyelids and eyelashes.”