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Author

Enrique Muñoz

Other affiliations: University of Murcia
Bio: Enrique Muñoz is an academic researcher from University of Milan. The author has contributed to research in topics: Biometrics & Fuzzy logic. The author has an hindex of 11, co-authored 39 publications receiving 537 citations. Previous affiliations of Enrique Muñoz include University of Murcia.

Papers
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Journal ArticleDOI
TL;DR: Deep-ECG extracts significant features from one or more leads using a deep CNN and compares biometric templates by computing simple and fast distance functions, obtaining remarkable accuracy for identification, verification and periodic re-authentication.

255 citations

Journal ArticleDOI
TL;DR: This paper proposes the first method in the literature able to extract the coordinates of the pores from touch-based, touchless, and latent fingerprint images, and uses specifically designed and trained Convolutional Neural Networks to estimate and refine the centroid of each pore.

81 citations

Journal ArticleDOI
TL;DR: The biometric literature relevant to identity verification is surveyed and the best practices and biometric techniques applicable to ABC are summarized, relying on real experience collected in the field.
Abstract: The increasing demand for traveler clearance at international border crossing points (BCPs) has motivated research for finding more efficient solutions. Automated border control (ABC) is emerging as a solution to enhance the convenience of travelers, the throughput of BCPs, and national security. This is the first comprehensive survey on the biometric techniques and systems that enable automatic identity verification in ABC. We survey the biometric literature relevant to identity verification and summarize the best practices and biometric techniques applicable to ABC, relying on real experience collected in the field. Furthermore, we select some of the major biometric issues raised and highlight the open research areas.

72 citations

Journal ArticleDOI
TL;DR: This paper proposes an intelligent scheme for the efficient composition of melodies based on a musical method that is inspired by and strongly characterized by human virtuosity: the unfigured bass technique and formulate this music composition technique as an optimization problem and solve it with an adaptive multiagent memetic approach.
Abstract: Computers and artificial intelligence play a key role in the production of artwork through the designing of synthetic agents that are able to reproduce the capabilities of human artists in assembling high-quality artefacts such as paintings and sculptures. In this context, music composition represents one of the art disciplines that can greatly benefit from the appropriate use of computational intelligence, as witnessed by the large number of research activities performed in this field over the recent years. Nevertheless, the automatic composition of music is far from being completely and precisely perfected due to the intrinsic virtuosity that characterizes human musicians’ capabilities. This paper reduces this gap with the proposal of an intelligent scheme for the efficient composition of melodies based on a musical method that is inspired by and strongly characterized by human virtuosity: the unfigured bass technique. In particular, we formulate this music composition technique as an optimization problem and solve it with an adaptive multiagent memetic approach comprising diverse metaheuristics, the composer agents that cooperate to create high-quality four-voice pieces of music starting from a bass line as input. A collection of experimental studies on the famous Bach’s four-voice chorales showed that the cooperation among different optimization strategies yields improved performance over the solutions obtained by conventional and hybrid evolutionary algorithms.

40 citations

Journal ArticleDOI
TL;DR: The construction of a centralized hybrid metaheuristic cooperative strategy to solve optimization problems by incorporating knowledge from a knowledge extraction process applied to the results returned by individual metaheuristics.

39 citations


Cited by
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Journal ArticleDOI
TL;DR: The results show that the OEMACS generally outperforms conventional heuristic and other evolutionary-based approaches, especially on VMP with bottleneck resource characteristics, and offers significant savings of energy and more efficient use of different resources.
Abstract: Virtual machine placement (VMP) and energy efficiency are significant topics in cloud computing research. In this paper, evolutionary computing is applied to VMP to minimize the number of active physical servers, so as to schedule underutilized servers to save energy. Inspired by the promising performance of the ant colony system (ACS) algorithm for combinatorial problems, an ACS-based approach is developed to achieve the VMP goal. Coupled with order exchange and migration (OEM) local search techniques, the resultant algorithm is termed an OEMACS. It effectively minimizes the number of active servers used for the assignment of virtual machines (VMs) from a global optimization perspective through a novel strategy for pheromone deposition which guides the artificial ants toward promising solutions that group candidate VMs together. The OEMACS is applied to a variety of VMP problems with differing VM sizes in cloud environments of homogenous and heterogeneous servers. The results show that the OEMACS generally outperforms conventional heuristic and other evolutionary-based approaches, especially on VMP with bottleneck resource characteristics, and offers significant savings of energy and more efficient use of different resources.

340 citations

01 Jan 2016
TL;DR: The handbook of biometrics is universally compatible with any devices to read, and will help you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you very much for reading handbook of biometrics. Maybe you have knowledge that, people have look numerous times for their favorite books like this handbook of biometrics, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful virus inside their desktop computer. handbook of biometrics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the handbook of biometrics is universally compatible with any devices to read.

275 citations

Journal ArticleDOI
TL;DR: The state of the art in parallel metaheuristics is discussed here on, in a summarized manner, to provide a solution to deal with some of the growing topics.

275 citations