Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification

X. Y. Jing; H. S. Wong

doi:10.1049/el:20062422

Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification

X. Y. Jing, H. S. Wong

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

9 Citations (Scopus)

Abstract

A new multi-modal biometrics recognition approach for the small sample size problem is presented. Gaborface and Gaborpalm images at the pixel level are combined, and the fused images are classified using a DCV plus RBF feature classification method. The experimental results demonstrate the effectiveness of the approach. © The Institution of Engineering and Technology 2006.

Original language	English
Pages (from-to)	1205-1207
Journal	Electronics Letters
Volume	42
Issue number	21
DOIs	https://doi.org/10.1049/el:20062422
Publication status	Published - 2006

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title = "Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification",

abstract = "A new multi-modal biometrics recognition approach for the small sample size problem is presented. Gaborface and Gaborpalm images at the pixel level are combined, and the fused images are classified using a DCV plus RBF feature classification method. The experimental results demonstrate the effectiveness of the approach. {\textcopyright} The Institution of Engineering and Technology 2006.",

author = "Jing, {X. Y.} and Wong, {H. S.}",

year = "2006",

doi = "10.1049/el:20062422",

language = "English",

volume = "42",

pages = "1205--1207",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley & Sons",

number = "21",

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TY - JOUR

T1 - Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification

AU - Jing, X. Y.

AU - Wong, H. S.

PY - 2006

Y1 - 2006

N2 - A new multi-modal biometrics recognition approach for the small sample size problem is presented. Gaborface and Gaborpalm images at the pixel level are combined, and the fused images are classified using a DCV plus RBF feature classification method. The experimental results demonstrate the effectiveness of the approach. © The Institution of Engineering and Technology 2006.

AB - A new multi-modal biometrics recognition approach for the small sample size problem is presented. Gaborface and Gaborpalm images at the pixel level are combined, and the fused images are classified using a DCV plus RBF feature classification method. The experimental results demonstrate the effectiveness of the approach. © The Institution of Engineering and Technology 2006.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33750017852&origin=recordpage

U2 - 10.1049/el:20062422

DO - 10.1049/el:20062422

M3 - RGC 21 - Publication in refereed journal

SN - 0013-5194

VL - 42

SP - 1205

EP - 1207

JO - Electronics Letters

JF - Electronics Letters

IS - 21

ER -

Biometrics recognition based on fused Gaborface and Gaborpalm with DCV-RBF feature classification

Abstract

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