Locating geometrical descriptors for hand biometrics in a contactless environment

Kah Ong Michael Goh, Connie Tee, Siong Hoe Lau, Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper proposes an innovative contactless hand geometry recognition system. We present a novel hand tracking approach to automatically detect and capture the geometrical features of the hand from low resolution video stream. No constraint is imposed and the subject can place his/her hand naturally on top of the sensor without touching any device. Conventional hand geometry systems require fairly precise positioning of the hand in order to obtain accurate measures of the hand. However, the proposed contactless approach does not fix any guidance pegs to help placing the hand at the right position when the image is acquired. As a result, the hand image may appear larger when the hand is placed near the sensor, and vice versa. Besides, the hand can be positioned at different angles. In other words, there is no way to obtain standard and constant hand measurements from this contactless setting. This research aims to deal with this complication when we have to get accurate measurements of the hand from images with varying sizes and directed at different orientations. Experiments show that our proposed method offers promising result for hand geometry recognition in a real-time contactless environment.

Original languageEnglish
Title of host publicationProceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10
Volume1
DOIs
Publication statusPublished - 2010 Nov 8
Event2010 International Symposium on Information Technology, ITSim'10 - Kuala Lumpur, Malaysia
Duration: 2010 Jun 152010 Jun 17

Other

Other2010 International Symposium on Information Technology, ITSim'10
CountryMalaysia
CityKuala Lumpur
Period10/6/1510/6/17

Fingerprint

Biometrics
Geometry
Sensors
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Goh, K. O. M., Tee, C., Lau, S. H., & Teoh, B. J. (2010). Locating geometrical descriptors for hand biometrics in a contactless environment. In Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10 (Vol. 1). [5561318] https://doi.org/10.1109/ITSIM.2010.5561318
Goh, Kah Ong Michael ; Tee, Connie ; Lau, Siong Hoe ; Teoh, Beng Jin. / Locating geometrical descriptors for hand biometrics in a contactless environment. Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1 2010.
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Goh, KOM, Tee, C, Lau, SH & Teoh, BJ 2010, Locating geometrical descriptors for hand biometrics in a contactless environment. in Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. vol. 1, 5561318, 2010 International Symposium on Information Technology, ITSim'10, Kuala Lumpur, Malaysia, 10/6/15. https://doi.org/10.1109/ITSIM.2010.5561318

Locating geometrical descriptors for hand biometrics in a contactless environment. / Goh, Kah Ong Michael; Tee, Connie; Lau, Siong Hoe; Teoh, Beng Jin.

Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1 2010. 5561318.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Goh KOM, Tee C, Lau SH, Teoh BJ. Locating geometrical descriptors for hand biometrics in a contactless environment. In Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10. Vol. 1. 2010. 5561318 https://doi.org/10.1109/ITSIM.2010.5561318