Name
Abstract | ||
|---|---|---|
Among many biometric identification methods iris recognition is more attractive due to the unique features of the human eye [1]. There are many proposed algorithms for iris recognition. Although all these methods are based on the properties of the iris, they are subject to some limitations. In this research we attempt to develop an algorithm for iris recognition based on Fuzzy logic incorporated with not only the visible properties of the human iris but also considering the iris function. Visible features of the human iris such as pigment related features, features controlling the size of the pupil, visible rare anomalies, pigment frill and Collarette are considered [2]. This paper presents the algorithm we developed to recognize iris. A prototype system developed is also discussed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-90-481-3660-5_7 | ADVANCES TECHNIQUES IN COMPUTING SCIENCES AND SOFTWARE ENGINEERING |
Keywords | Field | DocType |
iris recognition,feature detection,fuzzy logic | Human eye,Computer vision,Iris recognition,Pattern recognition,Feature (computer vision),Gabor wavelet,Computer science,Fuzzy logic,Pupil,Gabor filter,Artificial intelligence,Biometrics | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. R. Kodituwakku | 1 | 0 | 0.34 |
| M. I. M. Fazeen | 2 | 0 | 0.34 |