• Corpus ID: 5773065

Iris recognition: an emerging biometric technology

@inproceedings{Ganorkar2007IrisRA,
  title={Iris recognition: an emerging biometric technology},
  author={Sanjay Ganorkar and Ashok A. Ghatol},
  year={2007}
}
In this paper, iris recognition as one of the important method of biometrics-based identification systems and iris recognition algorithm is described. As technology advances and information and intellectual properties are wanted by many unauthorized personnel. As a result many organizations have being searching ways for more secure authentication methods for the user access. In network security there is a vital emphasis on the automatic personal identification. Due to its inherent advantages… 

Figures and Tables from this paper

Personal Authentication Based on Iris Recognition

This project basically explains the Iris recognition system and attempts to implement the algorithms in MATLAB, a biometric system for access control that uses the most unique characteristic of the human body.

Iris Biometrics for Secure Authentication

The objective of the study is to create a technique for accessing computers and computer networks that will be capable of enhancing the scanned image, reducing noise, and extracting important elements of the picture to check against data within a database.

A novel approach for iris recognition

  • U. ChaskarM. Sutaone
  • Computer Science
    2010 2nd International Conference on Computer Technology and Development
  • 2010
The proposed algorithms helps to take advantage of extracting unique iris features of every individual and the highlighted features of iris is compared with the template in database to identify or verify individual.

Biometric Identification Using Matching Algorithm Method

The presented biometric method is compared with a database for identification, or verification of people based on iris recognition, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections.

Iris Recognition based Biometric identification using Neural Networks

  • R. MohammedShafqat Ul AhsaanHarleen Kaur
  • Computer Science
    Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India
  • 2021
This paper highlights the use of Neural Networks for the recognition of the iris and focuses on the current research works that have been carried in the field of bioinformatics used for the identity of an individual.

PERSONAL IDENTIFICATION SYSTEM BASED ON HUMAN IRIS RECOGNITION

A new iris recognition method that analyzes local variations of the iris is used to construct a Feature Selection Vector (FSV) that can be used to extract features of any iris image size.

Efficient Biometric for Human Identification and Verification through Iris Recognition

The work presented in this paper involved developing an iris recognition system that consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections.

Iris Recognition System using 2 D Log-Gabor Filter

An iris recognition algorithm based on 2D Log-Gabor filters to encode the unique pattern of the iris into a bit-wise biometric template is presented and is found to perform better than existing approaches with an overall accuracy of 99.96%.

Iris recognition system

The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections.

Iris Recognition System using 2D Log-Gabor Filter

  • A. BabanS. VikhePratap
  • Computer Science
    International Journal Of Recent Advances in Engineering & Technology
  • 2020
An iris recognition algorithm based on 2D Log-Gabor filters to encode the unique pattern of the iris into a bit-wise biometric template is presented and is found to perform better than existing approaches with an overall accuracy of 99.96%.
...

References

SHOWING 1-10 OF 16 REFERENCES

Recognition of Human Iris Patterns for Biometric Identification

The work presented in this thesis involved developing an ‘open-source’ iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric.

An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory

Efficient biometric security techniques for iris recognition system with high performance and high confidence are described and the classification rate compared with the well known methods is discussed.

Iris recognition using self-organizing neural network

Among biometric systems for user verification, iris recognition systems represent a relatively new technology that consists of a localizing iris and iris pattern recognition and a trained self-organizing map neural network.

Iris recognition: an emerging biometric technology

This paper examines automated iris recognition as a biometrically based technology for personal identification and verification from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric assessment.

Iris recognition technology

  • G. O. Williams
  • Computer Science
    1996 30th Annual International Carnahan Conference on Security Technology
  • 1996
A new technology, using the unique patterns of the human Iris, shows promise of overcoming previous shortcomings and providing positive identification of an individual without contact or invasion, at extremely high confidence levels.

A system for automated iris recognition

A prototype system for personnel verification based on automated iris recognition and the results of an empirical study where the system exhibits flawless performance in the evaluation of 520 iris images are presented.

How iris recognition works

  • J. Daugman
  • Computer Science
    IEEE Transactions on Circuits and Systems for Video Technology
  • 2004
Algorithms developed by the author for recognizing persons by their iris patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison

High Confidence Visual Recognition of Persons by a Test of Statistical Independence

  • J. Daugman
  • Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1993
A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence, which implies a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates.

A human identification technique using images of the iris and wavelet transform

A new approach for recognizing the iris of the human eye is presented, and the resulting one-dimensional signals are compared with model features using different dissimilarity functions.

High Confidence Recognition of Persons by a Test of Statistical Independence

  • IEEE Trans. on PAMI,
  • 1993