A system for signature verification based on horizontal and vertical components in hand gestures

Beom Seok Oh, Jehyoung Jeon, Kar Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

An in-air hand gesture signature verification system that doesn't require a handheld device is proposed. depth image sensor captures signature gestures and records each signature as a 3D volume. A structured projection is then applied to the directionally accumulated images for feature extraction. For trajectory features, the fingertip and palm-mass trajectories are extracted from a signature data sample. Subsequently, these features are fused for possible performance enhancement. The signature data acquired using the prototype system contains not only the region of the body but also noise such as imaging distortion and background clutter. The usage of palm-mass center features for identity verification yields better accuracies than that of using the fingertip features. This could be due to stability of the extracted features.

Original languageEnglish
Pages (from-to)52-55
Number of pages4
JournalIEEE Intelligent Systems
Volume28
Issue number6
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence

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