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

  1. Arun A. Ross
  2. Patrick J. Flynn
  3. Kevin W. Bowyer
  4. Karen Hollingsworth
  5. Samir Shah
  6. Adam Czajka
  7. Anil K. Jain
  8. Mohammed Bennamoun

In Signal Processing

  1. Patrick J. Flynn
  2. Arun A. Ross
  3. Kevin W. Bowyer
  4. Karen Hollingsworth
  5. Samir Shah
  6. Adam Czajka
  7. Anil K. Jain
  8. Almas Abbasi

Citations in the corpus