Distinguishing Twins by Gait via Jackknife-Like Validation in Classification Analysis

  • Wan-Noorshahida Mohd-Isa
  • Junaidi Abdullah
  • Chikkanan Eswaran
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

This paper is about analysing the uniqueness of twins by gait biometric. The motivation arises due to twins, having facial similarity may lay difficulties to a video-based recognition system employing face biometric. Gait, a biometric based on the way a person walk, can perhaps be a useful descriptor. Due to the small size data set, classification via leave-one-out cross validation may not be sufficient to test gait’s viability as a descriptor for twins. Thus, this paper proposes a jackknife-like validation in a matched-pair classification. Comparing between the results of both validation approaches, results of the proposed method have shown to be promising. The results perhaps may point to the uniqueness of each individual twin by gait biometric.

Keywords

Twins biometric Gait recognition Jackknife validation 

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Wan-Noorshahida Mohd-Isa
    • 1
  • Junaidi Abdullah
    • 1
  • Chikkanan Eswaran
    • 1
  1. 1.Faculty of Computing and InformaticsMultimedia UniversityCyberjayaMalaysia

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