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Texture Features in Palmprint Recognition System

Author

Listed:
  • 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)

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.

Suggested Citation

  • C. Naveena & Shreyas Rangappa & Chethan H. K., 2021. "Texture Features in Palmprint Recognition System," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 10(1), pages 41-57, January.
    • Handle: RePEc:igg:jncr00:v:10:y:2021:i:1:p:41-57
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    Cited by:

    1. Phan, Dinh Hoang Bach & Tran, Vuong Thao & Iyke, Bernard Njindan, 2022. "Geopolitical risk and bank stability," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Bates, Shona & Kayess, Rosemary & Laurens, Edgar Julian & Katz, Ilan, 2024. "The importance of supporting evolving capacity: The need to support young people with cognitive impairment in out-of-home-care," Children and Youth Services Review, Elsevier, vol. 156(C).

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