Title: Personal identification using local Gaussian quadrature filter pair phase quantisation of hand vein images
Authors: T. Anantha kumar; K. Premalatha
Addresses: Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode – 638401, Tamil Nadu, India ' Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode – 638401, Tamil Nadu, India
Abstract: Hand vein pattern is a biometric feature in which the actual pattern is the shape of vein network and its characteristics are the vein features. This paper proposes a new approach and uses local phase quantisation with Gaussian quadrature filter pair for hand dorsal vein identification. The proposed work extracts the phase information computed locally in a window for every pixel position by employing Gaussian quadrature filter pair. The phases of six frequency coefficients are quantised and it is used to form a descriptor code for the local region. Whitening transformation is used to decorrelate these local descriptors and a histogram is generated for every pixel which describes the local pattern. The proposed work is experimented with minimum distance classifiers and results are examined for recognition rate, false acceptance rate (FAR), false rejection rate (FRR) and equal error rate (EER). Experiment results show that the proposed work outperforms the existing methods.
Keywords: dorsal hand veins; Gaussian filter; local phase quantisation; decorrelation; whitening transformation; personal identification; hand vein images; biometrics; vein networks; vein identification; recognition rate; false acceptance rate; FAR; false rejection rate; FRR; equal error rate; EER.
International Journal of Biometrics, 2014 Vol.6 No.2, pp.180 - 203
Received: 29 Oct 2013
Accepted: 06 Feb 2014
Published online: 23 May 2014 *