Name
Abstract | ||
|---|---|---|
Abstract This paper,proposes,a person,identification system (PID), which works with non-illumination low-resolution eye images. Radial-Scan and threshold methods,are used for Iris normalization,and Iris segmentation,from the eye image,respectively. Conventional neural network is used for iris matching. The proposed,algorithm works with 96 features of the iris. Space complexity is less and Iris codes are stored in an encrypted file. The Algorithm has been im- plemented,and tested on 1500 iris patterns. Images include normal iris captured under in-door and out-door conditions and from disease affected eyes. |
Year | Venue | Keywords |
|---|---|---|
2004 | ICVGIP | space complexity,low resolution,neural network |
Field | DocType | Citations |
Iris recognition,Computer vision,Normalization (statistics),Pattern recognition,PID controller,Computer science,Segmentation,Identification system,Encryption,Artificial intelligence,Artificial neural network | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Chitra | 1 | 9 | 3.61 |
| R. Bremananth | 2 | 6 | 2.03 |