Iris Recognition System
By Neha Kak, Rishi Gupta, Sanchit Mahajan. 2010
307 citations recorded by the source corpus.
In a biometric system a person is identified automatically by processing the unique features that are posed by the individual. Iris Recognition is regarded as the most reliable and accurate biometric identification system available. In Iris Recognition a person is identified by the iris which is the part of eye using pattern matching or image processing using concepts of neural networks. The aim is to identify a person in real time, with high efficiency and accuracy by analysing the random patters visible within the iris if an eye from some distance, by implementing modified Canny edge detector algorithm. The major applications of this technology so far have been: substituting for passports (automated international border crossing); aviation security and controlling access to restricted areas at airports; database access and computer login.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/59f92584bcddb651a3d108156bfd55df6d71055b
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
- Arun A. Ross
- Patrick J. Flynn
- Kevin W. Bowyer
- Karen Hollingsworth
- Samir Shah
- Adam Czajka
- Anil K. Jain
- Mohammed Bennamoun
In Signal Processing
- Patrick J. Flynn
- Arun A. Ross
- Kevin W. Bowyer
- Karen Hollingsworth
- Samir Shah
- Adam Czajka
- Anil K. Jain
- Almas Abbasi
Citations in the corpus
- Image understanding for iris biometrics: A survey (2008, background): “In 1987, Flom and Safir obtained a patent for an unimplemented conceptual design of an automated iris biometrics system [49].”
- Influence of Iris Template Aging on Recognition Reliability (2013, background): “The statement of a high temporal stability of iris features, in the context of personal identification, appeared as early as in the Flom’s and Safir’s US patent granted in 1987 [1].”
- Comparison and combination of iris matchers for reliable personal authentication (2010, unknown): “Proença and Alexandre [8] have suggested region-based feature extraction for the iris images acquired from large distances.”
- Iris Segmentation Using Geodesic Active Contours (2009, background): “Its function is to control the size of the pupil, which in turn regulates the amount of light entering the pupil and impinging the retina.”
- 50 years of biometric research: Accomplishments, challenges, and opportunities (2016, unknown): “The first patent for an iris recognition system was granted to Flom and Safir in 1985 [25] .”