EconPapers    
Economics at your fingertips  
 

Texture Features in Palmprint Recognition System

C. Naveena, Shreyas Rangappa and Chethan H. K.
Additional contact information
C. Naveena: SJB Institute of Technology, Visvesvaraya Technological University, India
Shreyas Rangappa: SJB Institute of Technology, Visvesvaraya Technological University, India
Chethan H. K.: MIT Thandvapura, Visvesvaraya Technological University, India

International Journal of Natural Computing Research (IJNCR), 2021, vol. 10, issue 1, 41-57

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.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJNCR.2021010104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:10:y:2021:i:1:p:41-57

Access Statistics for this article

International Journal of Natural Computing Research (IJNCR) is currently edited by Xuewen Xia

More articles in International Journal of Natural Computing Research (IJNCR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jncr00:v:10:y:2021:i:1:p:41-57