Design and implementation of a contactless palm vein recognition system

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

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

10 Citations (Scopus)

Abstract

This paper presents an innovative contactless palm vein recognition system. We design a hand sensor that could capture the palm vein image using low-resolution web camera. The design of the sensor is simple and low-cost, and we do not need to install specialized infrared sensor. We allow subjects to position their hands freely above the sensor and they can move their hands during the acquisition process. In order to obtain clear image of the palm vascular pattern, we propose a novel image processing technique called local-ridge-enhancement (LRE). The proposed method removes illumination error while keeping good contrast between the vein and the surrounding tissue. Apart from that, we present a new way to evaluate the image quality. Sometimes, the vein image does not appear clear due to the medical condition of the skin (like thick fatty tissue obstructing the subcutaneous blood vessels) and other environmental factor. These types of images are not suitable to be used for processing in our system. Therefore, we introduce the image quality checking procedure to evaluate the quality of the image before accepting it into our system. The proposed methodology improves the overall performance of the palm vein recognition system.

Original languageEnglish
Title of host publicationProceedings of Symposium on Information and Communication Technology, SoICT2010
Pages92-99
Number of pages8
DOIs
Publication statusPublished - 2010 Nov 22
EventSymposium on Information and Communication Technology, SoICT 2010 - Hanoi, Viet Nam
Duration: 2010 Aug 272010 Aug 28

Publication series

NameACM International Conference Proceeding Series

Other

OtherSymposium on Information and Communication Technology, SoICT 2010
CountryViet Nam
CityHanoi
Period10/8/2710/8/28

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Michael, G. K. O., Connie, T., Hoe, L. S., & Jin, A. T. B. (2010). Design and implementation of a contactless palm vein recognition system. In Proceedings of Symposium on Information and Communication Technology, SoICT2010 (pp. 92-99). (ACM International Conference Proceeding Series). https://doi.org/10.1145/1852611.1852630