Texture Features in Palmprint Recognition System
| Autor: | C. Naveena, H K Chethan, Shreyas Rangappa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Palm print
business.industry Orientation (computer vision) Computer science 010102 general mathematics Pattern recognition 02 engineering and technology 01 natural sciences Texture (geology) Identification (information) Gabor filter Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Recognition system Median filter 020201 artificial intelligence & image processing Artificial intelligence 0101 mathematics business |
| Zdroj: | International Journal of Natural Computing Research. 10:41-57 |
| ISSN: | 1947-9298 1947-928X |
| DOI: | 10.4018/ijncr.2021010104 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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