Palmprint Recognition Based on Fusion of Spatial and Transform Domain Features
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
The authentication of person using palmprint biometric trait is more efficient as more number of features are available. In this paper we propose palmprint recognition based on fusion of spatial and transform domain features. The palmprint images are preprocessed and the spatial domain features are extracted using Linear Binary Pattern (LBP). The LBP features of test palmprint images are compared with LBP features of database images using Euclidean Distance(ED) to compute performance parameters. The Stationary Wavelet Transform (SWT) is applied on LL band of Discrete Wavelet Transform (DWT) matrix of palmprint images to extract transform domain features. The ED is used to compare transform domain features of database and test palmprint images to compute performance parameters. The Optimum Total Success Rates (OTSR) of spatial and transform domain technique are fused to obtain better OTSR compared to individual techniques. It is observed that, the performance parameters are better compared to existing methods.
Authors and Affiliations
Chandrakala V, Chetan Tippanna Madiwalar, K Suresh Babu, K B Raja, Venugopal K R
Keywords
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