Name
Abstract | ||
|---|---|---|
In iris recognition system, the feature extraction is the most important stages where the iris unique feature is extracted. Several methods of achieving this have been proposed in order to extract the distinct features that are unique to each individual. The aim of this research is to proposed a new Legendre wavelet filter that will decompose the iris data and extract the unique pattern for the iris recognition system. The research considers using wavelet because wavelet are the most suitable means of image processing in general. The Legendre filter create show a very fine result of a decomposed iris image for classification.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3309074.3309090 | Proceedings of the 3rd International Conference on Cryptography, Security and Privacy |
Keywords | Field | DocType |
biometric, iris recognition, legendre wavelet, pattern recognition | Iris recognition,Pattern recognition,Computer science,Legendre polynomials,Image processing,Legendre wavelet,Feature extraction,Artificial intelligence,Iris flower data set,Biometrics,Wavelet | Conference |
ISBN | Citations | PageRank |
978-1-4503-6618-2 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danlami Muktar | 1 | 0 | 0.34 |
| Sapiee Jamel | 2 | 3 | 2.09 |
| Sofia Najwa Ramli | 3 | 0 | 0.34 |
| Mustafa Mat Deris | 4 | 510 | 56.25 |