DWT, Complex Wavelet Transform and THFB for Iris Recognition - Santosh Randive,Rahul Parbat,Kiran Napte
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Iris Recognition System is a process of recognizing an individual by analyzing the random pattern of iris and comparing with database. A comparative analysis is performed with wavelet transform such as Discrete Wavelet Transform (DWT), Rotated Complex Wavelet Filter (RCWF) and Triplet Half-Band Filter Bank (THFB) for iris recognition. These approaches are tested on various databases. The process starts from ... Full description
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Description
Iris Recognition System is a process of recognizing an individual by analyzing the random pattern of iris and comparing with database. A comparative analysis is performed with wavelet transform such as Discrete Wavelet Transform (DWT), Rotated Complex Wavelet Filter (RCWF) and Triplet Half-Band Filter Bank (THFB) for iris recognition. These approaches are tested on various databases. The process starts from pre-processing. In pre-processing stage the image is enhanced, segmented and normalized. Now smoothed image is taken into consideration for feature extraction using above mentioned wavelet transforms. Finally a post-classi¿er is applied to resultant image for reducing false rejection rate.
More Information
| Author | Santosh Randive, Rahul Parbat, Kiran Napte |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2020 |
| Cover type | Softcover |
| EAN | 9786202531467 |