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Texture Features in Palmprint Recognition System
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Author(s): C. Naveena (SJB Institute of Technology, Visvesvaraya Technological University, India), Shreyas Rangappa (SJB Institute of Technology, Visvesvaraya Technological University, India)and Chethan H. K. (MIT Thandvapura, Visvesvaraya Technological University, India)
Copyright: 2021
Volume: 10
Issue: 1
Pages: 17
Source title:
International Journal of Natural Computing Research (IJNCR)
DOI: 10.4018/IJNCR.2021010104
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Abstract
This paper describes the algorithm used for personal identification based on features extracted from the palmprint. The local Gabor XOR (LGXP) features is built using Gabor filter with orientation. Initially, the palm print images are preprocessed using median filter. The algorithm is then modified, where features are extracted with different orientations of the Gabor filter called the multiple orientation LGXP (MOLGXP) features. The PCA feature is extracted and fused with MOLGXP and PCA using sum rule.
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