DWT, Complex Wavelet Transform and THFB for Iris Recognition - Randive, Santosh;Parbat, Rahul;Napte, Kiran
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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 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…mehr

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Produktbeschreibung
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-classifier is applied to resultant image for reducing false rejection rate.
Autorenporträt
Mr. Santosh Randive is working as Assistant Professor at Pimpri Cinchwad College of Engineering & Research, Ravet and has 09 Years of teaching experience.