Touchless Palmprint Verification using Shock Filter,SIFT, I-RANSAC, and LPD

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3

Abstract

Abstract: Palmprint have some basic features. These basic features are unique and unchangeable in one’s life.It is constant and not easy to fake. A palmprint contains three major lines that are called principal line, secondary line, and wrinkles. These lines give rich information for personal verification and have robust discernment. In this paper a new method proposed for palmprint verification. Shock filter is used in the proposed method for preprocessing. SIFT feature matching using I-RANSAC and LPD refinement are used forfeature matching. The results of the preprocessed and without preprocessed palmprint images are displayed,compared, and discussed in this paper. The experiment is carried out using IITD palmprint database and CASIApalmprint database

Authors and Affiliations

Saravanan Chandran, Ph. D, MIEEE , Satya Bhushan Verma

Keywords

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  • EP ID EP100527
  • DOI -
  • Views 77
  • Downloads 0

How To Cite

Saravanan Chandran, Ph. D, MIEEE, Satya Bhushan Verma (2015).  Touchless Palmprint Verification using Shock Filter,SIFT, I-RANSAC, and LPD. IOSR Journals (IOSR Journal of Computer Engineering), 17(3), 1-8. https://europub.co.uk./articles/-A-100527