International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 24 |
Year of Publication: 2018 |
Authors: Tanni Dhoom, Munmun Biswas |
10.5120/ijca2018918009 |
Tanni Dhoom, Munmun Biswas . An Investigation of Various Segmentation Methods Used in Iris recognition System. International Journal of Computer Applications. 182, 24 ( Oct 2018), 52-58. DOI=10.5120/ijca2018918009
A biometric framework offers automatic identification of a human being in view of the special feature or characteristic which is being controlled by the individual. The iris, one of the biometrics emerges among other biometric strategies due to its unique features like stability and accuracy. Iris Recognition has its significant applications in the field of surveillance, forensics and furthermore in security purposes As of late, iris recognition is produced to a few dynamic areas of research, for example, Image Acquisition, restoration, quality assessment, image compression, Image segmentation, noise reduction, normalization, feature extraction, iris code matching, looking vast database, execution under shifting condition and multi bio-metrics. This paper reviews a foundation of iris recognition and literature of late proposed strategies in various fields of iris recognition system.