A machine-vision system for iris recognition
By Richard P. Wildes, J. Asmuth, Gilbert L. Green, S. Hsu, Raymond J. Kolczynski, James R. Matey, Sterling E. McBride. Machine Vision and Applications, 2005
446 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Genetics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1b8912d1e7bf025e14ab462106cf6994107ccc9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Anil K. Jain
- Patrick J. Flynn
- Kevin W. Bowyer
- Tien-Ping Tan
- Yunhong Wang
- Karen Hollingsworth
- Sharath Pankanti
- Dexin Zhang
In Genetics
- Zhenan Sun
- Tien-Ping Tan
- Patrick J. Flynn
- Kevin W. Bowyer
- Karen Hollingsworth
- Sharath Pankanti
- Almas Abbasi
- Woo Chaw Seng
In Signal Processing
- Patrick J. Flynn
- Kevin W. Bowyer
- Tien-Ping Tan
- Anil K. Jain
- Karen Hollingsworth
- Zhenan Sun
- Dexin Zhang
- Sharath Pankanti
Citations in the corpus
- Personal Identification Based on Iris Texture Analysis (2003, background): “These visible characteristics, which are generally called the texture of the iris, are unique to each subject [5], [6], [7], [12], [15], [16], [17], [18], [19], [20], [21].”
- Ordinal Measures for Iris Recognition (2009, methodology): “" Many iris recognition methods [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] have been reported, but these questions remain open and intriguing.”
- Efficient iris recognition by characterizing key local variations (2004, methodology): “The normalization not only reduces to a certain extent the distortion of the iris caused by pupil movement but also simplifies subsequent processing.”
- Image understanding for iris biometrics: A survey (2008, background): “Earlier and less detailed descriptions of the system appear in [170,171].”
- Combining Face and Iris Biometrics for Identity Verification (2003, unknown): “There are four main approaches to iris representation: phase information coding [13][16], zero-crossings representation [24], shape description [25] and texture analysis [14-15][25-28].”
- Guide to Biometrics (2003, background): “" Although iris [232,233] is a relatively new biometric, it has been shown to be very accurate and stable.”