IRIS FEATURES EXTRACTION USING WAVELET PACKETS
Overview & Synopsis
This article presents an application of wavelet packet analysis to the features extraction part of an iris recognition system. An energy measure is used to identify the particular packets that carries discriminating information about the iris texture. Several different orthogonal wavelets are tested and a comparison to non-orthogonal analysis using Gabor wavelets is done. The experimental results show 100% correct classifications when applying the algorithm on an iris image database and the new algorithm is therefore an interesting alternative to Gabor based methods.
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hal.science)
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Document Information
| Document Title | IRIS FEATURES EXTRACTION USING WAVELET PACKETS |
|---|---|
| Author / Organization | Erik Rydgren, Thomas Ea, Frédéric Amiel, Florence Rossant, Amara Amara |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2004 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-151250 |
| Original Source Link | Visit Source Page on hal.science » |