1 - 6 of 6 articles
In a previous study, it has been shown that brain activity, i.e., electroencephalogram (EEG) signals, can be used to generate personal identification number (PIN). The method was based on brain-computer interface (BCI) technology using a P300-based BCI approach and showed that a single-channel...
The biometric verification of users of computers or other machines is usually performed with fingerprints, face, iris or palm images. Eye movements have seldom been studied for biometric verification, although in the future their use will perhaps extend from laboratory applications to integrated...
This paper proposes a new, privacy-preserving fingerprint construct, which consists of a single pattern created from a small subset of minutiae from the corresponding minutiae template. The sparsity of the resulting feature vector ensures that it cannot be used to reconstruct the underlying...
Fingerprint image quality is of great importance for an automatic fingerprint identification system (AFIS), and affects its performance. In this paper, a new fingerprint image quality measure based on wave atoms transform is proposed. Indeed, fingerprint features are extracted by exploiting wave...
This paper reports the use of eyebrow shape as a point feature for face recognition in the identity sciences. An approach to quantifying eyebrow shape and results of an experiment to test how human perceptions of eyebrow shape (qualitative analyses) compare with quantitative analyses (i.e.,...
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...
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