Abstract
In this paper, we propose a novel cross-spectral matching system for identity verification based on the palm-vein and the palmprint acquired from the visible (RGB) and the near infrared (NIR) image spectral bands. Considering the vast availability of the visible library, the red and the blue spectrums are treated as sources of gallery samples and the NIR spectral band is utilized as the probe source without loss of generality. Apart from the extraction of palm-vein and palmprint features, the discriminative power of the palmprint templates is enhanced using a simplified Local Binary Pattern (LBP) encoding scheme. The similarity scores obtained by matching the NIR palm-vein templates against the registered RGB palm-vein templates is finally fused with scores obtained from matching the NIR palmprint codes against the registered RGB palmprint codes. Our empirical results on two publicly available multi-spectral palm databases show that the proposed system consistently achieves promising verification performance.
Highlights
Palmprint and palm-vein are two major biometric traits residing in the palm region of the hand
Since groups (a) and (e) belong to the common approach and are relatively well studied, Table 2 only provides details of those less studied groups (b)-(d), (f)-(i). These two tables show that our research fills the gap of identity verification based on multiple image spectrums and multimodality of the palm. With these motivations and observations in mind, in this paper, we propose for the first time a RGB-near infrared (NIR) crossspectral matching system for palmprint and palm-vein verification
PROPOSED SYSTEM FOR PALM-VEIN AND PALMPRINT VERIFICATION ACROSS THE RGB AND THE NIR SPECTRUMS we propose a cross-spectral palm biometric system for identity verification
Summary
Palmprint and palm-vein are two major biometric traits residing in the palm region of the hand. Due to their high stability, uniqueness and possession of rich discriminative information, both of these modalities are among the popular choices for user authentication [1]–[7]. The palmprint, which consists of the principal lines together with fine texture, can be acquired by the normal CCD cameras. Such ease of data acquisition has largely enabled its cost effectiveness in terms of its deployment for real-world applications [1], [2]. A palmprint recognition system may fail when a distortion
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