ICIEA_2019_paper_379.pdf (1.18 MB)

Image fusion based multi resolution and frequency partition discrete cosine transform for palm vein recognition

Download (1.18 MB)
conference contribution
posted on 15.07.2019 by Shi C. Soh, M.Z. Ibrahim, M.F. Abas, N. Sulaiman, David Mulvaney
The rapid growth of technology has increased the demand for automated security systems. Due to the accessibility of the palm region and the unique characteristics of each individual's palm vein features, such biometrics have been receiving particular attention. In the published research relating to palm vein biometrics, usually only a single image is used to supply the data for recognition purposes. Previous experimental work has demonstrated that the fusion of multiple images is able to provide richer feature information resulting in an improved classification performance. However, although most of the image fusion techniques are able to preserve the vein pattern, the fused image is often blurred, the colors are distorted and the spatial resolution reduced. In this paper, the multi-resolution discrete cosine transform (MRDCT) and frequency partition DCT (FPDCT) image fusion are applied and are able to extract the finer details of vein patterns while reducing the presence of noise in the image. The performance shows that the use of MRDCT and FPDCT was able to improve recognition rate compared to using a single image. The equal error rate improvement is also significant, falling to 9% in 700nm image, 7% in 850nm image and 6% in 940nm image.

Funding

Fundamental Research Grant Scheme (FRGS/1/2016/ICT04/UMP/02/3) with the RDU number RDU160108 which is awarded by Ministry of Higher Education Malaysia (MOHE) via Research and Innovation Department, Universiti Malaysia Pahang (UMP) Malaysia.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019

Pages

367 - 371

Citation

SOH, S.C. ... et al, 2019. Image fusion based multi resolution and frequency partition discrete cosine transform for palm vein recognition. Presented at the 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), Tokyo, Japan, 12-15 April 2019, pp.367-371.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2019

Notes

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781728108513

Language

en

Exports

Logo branding

Exports