Marcos Faúndez-Zanuy

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This paper studies some pattern recognition algorithms for on-line signature recognition: vector quantization (VQ), nearest neighbor (NN), dynamic time warping (DTW) and hidden Markov models (HMM). We have used a database of 330 users which includes 25 skilled forgeries performed by five different impostors. This database is larger than the typical ones(More)
Any biometric system has drawbacks and cannot warranty 100% identification rates, nor 0% False Acceptance and Rejection Ratios. One way to overcome the limitations is through a combination of different biometric systems. In addition, a multiiodal biometric recognition is more difficult to fool than a single biometric system, because it is more unlikely to(More)
The word biometrics comes from the Greek words “bios” (life) and “metrikos” (measure). Strictly speaking, it refers to a science involving the statistical analysis of biological characteristics. Thus, we should refer to biometric recognition of people, as those security applications that analyze human characteristics for identity verification or(More)
The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech(More)
This Paper discusses the usefullness of the residual signal for speaker recognition. It is shown that the combination of both a measure defined over LPCC coefficients and a measure deffined over the energy of the residual signal gives rise to an improvement over the classical method which considers only the LPCC coefficients. If the residual signal is(More)
In this paper, we present the main results of the BioSecure Signature Evaluation Campaign (BSEC’2009). The objective of BSEC’2009 was to evaluate different online signature algorithms on two tasks: the first one aims at studying the influence of acquisition conditions (digitizing tablet or PDA) on systems’ performance; the second one aims at studying the(More)
In this paper we propose a low-complexity face verification system based on the Walsh–Hadamard transform. This system can be easily implemented on a fixed point processor and offers a good compromise between computational burden and verification rates. We have evaluated that with 36 integer coefficients per face we achieve better Detection Cost Function(More)
In the XXI“‘century, there is a strong interest on privacy issues. Technology permits obtaining personal information without individuals’ consent, computers make it feasible to share and process this information, and tbh can bring about damaging implications. In some sense, biometric information is personal information, so it is important to be conscious(More)