Author: MARIA DEL PILAR GOMEZ GIL

Shape-based hand recognition approach using the morphological pattern spectrum

JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL GABRIEL SANCHEZ PEREZ (2009)

We propose the use of the morphological pattern spectrum, or pecstrum, as the base of a biometric shape-based hand recognition system. The system receives an image of the right hand of a subject in an unconstrained pose, which is captured with a commercial flatbed scanner. According to pecstrum property of invariance to translation and rotation, the system does not require the use of pegs for a fixed hand position, which simplifies the image acquisition process. This novel feature-extraction method is tested using a Euclidean distance classifier for identification and verification cases, obtaining 97% correct identification, and an equal error rate (EER) of 0.0285 (2.85%) for the verification mode. The obtained results indicate that the pattern spectrum represents a good featureextraction alternative for low- and medium-level hand-shape-based biometric applications.

Article

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS CIENCIA DE LOS ORDENADORES

FPGA-based educational platform for real-time image processing experiments

JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL VICENTE ALARCON AQUINO Jorge Martinez_Carballido EMMANUEL MORALES FLORES (2010)

In this paper, an implementation of an educational platform for real-time linear and morphological image filtering using a FPGA NexysII, Xilinx®, Spartan 3E, is described. The system is connected to a USB port of a personal computer, which in that way form a powerful and low-cost design station for educational purposes. The FPGA-based system is accessed through a MATLAB graphical user interface, which handles the communication setup and data transfer. The system allows the students to perform comparisons between results obtained from MATLAB simulations and FPGA-based real-time processing. Concluding remarks derived from course evaluations and lab reports are presented.

Article

Image Processing Hardware Education Filtering CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA ELECTRÓNICA

A LabVIEW-based autonomous vehicle navigation system using robot vision and fuzzy control

JUAN MANUEL RAMIREZ CORTES Jorge Martinez Carballido María del Pilar Gómez Gil (2011)

This paper describes a navigation system for an autonomous vehicle using machine vision techniques applied to real-time captured images of the track, for academic purposes. The experiment consists of the automatic navigation of a remote control car through a closed circuit. Computer vision techniques are used for the sensing of the environment through a wireless camera. The received images are captured into the computer through the acquisition card NI USB-6009, and processed in a system developed under the LabVIEW platform, taking advantage of the toolkit for acquisition and image processing. Fuzzy logic control techniques are incorporated for the intermediate control decisions required during the car navigation. An e􀄜 cient approach based on logic machine-states is used as an optimal method to implement the changes required by the fuzzy logic control. Results and concluding remarks are presented.

Article

Fuzzy Control Robot Vision Autonomous Navigation CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA ELECTRÓNICA

Composite recurrent neural networks for long-term prediction of highly-dynamic time series supported by wavelet decomposition

MARIA DEL PILAR GOMEZ GIL ANGEL MARIO GARCIA PEDRERO JUAN MANUEL RAMIREZ CORTES (2010)

Even though it is known that chaotic time series cannot be accurately predicted, there is a need to forecast their behavior in may decision processes. Therefore several non-linear prediction strategies have been developed, many of them based on soft computing. In this chapter we present a new neural network architecutre, called Hybrid and based-on-Wavelet-Reconstructions Network (HWRN), which is able to perform recursive long-term prediction over highly dynamic and chaotic time series. HWRN is based on recurrent neural networks embedded in a two-layer neural structure, using as a learning aid, signals generated by wavelets coefficients obtained from the training time series. In the results reported here, HWRN was able to predict better than a feed-forward neural network and that a fully-connected, recurrent neural network with similar number of nodes. Using the benchmark known as NN5, which contains chaotic time series, HWRN obtained in average a SMAPE = 26% compared to a SMAPE = 61% obtained by a fully-connected recurrent neural network and a SMAPE = 49% obtained by a feed forward network.

Article

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA ELECTRÓNICA

Shape-based hand recognition approach using the morphological pattern spectrum

JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL GABRIEL SANCHEZ PEREZ (2009)

We propose the use of the morphological pattern spectrum, or pecstrum, as the base of a biometric shape-based hand recognition system. The system receives an image of the right hand of a subject in an unconstrained pose, which is captured with a commercial flatbed scanner. According to pecstrum property of invariance to translation and rotation, the system does not require the use of pegs for a fixed hand position, which simplifies the image acquisition process. This novel feature-extraction method is tested using a Euclidean distance classifier for identification and verification cases, obtaining 97% correct identification, and an equal error rate (EER) of 0.0285 (2.85%) for the verification mode. The obtained results indicate that the pattern spectrum represents a good featureextraction alternative for low- and medium-level hand-shape-based biometric applications.

Article

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA

On digital signal processing understanding through simulation and animation tools

JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL ROGERIO ADRIAN ENRIQUEZ CALDERA (2008)

This paper describes the use of simulation and animation tools based on MathCAD, aimed to support the understanding of basic principles of digital filters. An important feature is the interaction student-computer to simulate different problems with parameter changes and its instantaneous evaluation by the software, which motivates the reasoning and understanding of the mathematical concepts by the student. In addition, the animation options in MathCAD allow the students to create virtual environments which resemble the real instrumentation procedures in the laboratory, such as the typical frequency sweep based on a signal generator and the oscilloscope. A collection of different study cases in the area of digital signal processing such as filter design, Nyquist criterium, digital filtering in the time domain by difference equations, relation to frequency response in both, continuous and discrete domains, and modulation, is described.

Article

Digital signal processing Digital filters Simulation Animation Frequency response CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA

On digital signal processing understanding through simulation and animation tools

JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL ROGERIO ADRIAN ENRIQUEZ CALDERA (2008)

This paper describes the use of simulation and animation tools based on MathCAD, aimed to support the understanding of basic principles of digital filters. An important feature is the interaction student-computer to simulate different problems with parameter changes and its instantaneous evaluation by the software, which motivates the reasoning and understanding of the mathematical concepts by the student. In addition, the animation options in MathCAD allow the students to create virtual environments which resemble the real instrumentation procedures in the laboratory, such as the typical frequency sweep based on a signal generator and the oscilloscope. A collection of different study cases in the area of digital signal processing such as filter design, Nyquist criterium, digital filtering in the time domain by difference equations, relation to frequency response in both, continuous and discrete domains, and modulation, is described.

Article

Digital signal processing Digital filters Simulation Animation Frequency response CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS CIENCIA DE LOS ORDENADORES

Intermedia synchronization protocol for continuous media using MPEG-4 in mobile distributed systems

Eduardo López Domínguez SAUL EDUARDO POMARES HERNANDEZ María del Pilar Gómez Gil JORGE DE LA CALLEJA MORA ANTONIO BENITEZ RUIZ ANTONIO MARIN HERNANDEZ (2012)

The preservation of temporal dependencies among a group of processes that exchange continuous media at runtime is a key issue for emerging mobile distributed systems (MDS), such as monitoring of biosignals and interactive multiuser games. Although several works are oriented to satisfy temporal dependencies, most of them are not suitable for MDSs. In general, an MDS is characterized by the absence of global references (e.g. shared memory and wall clock), host mobility, limited processing and storage capabilities in mobile hosts, and limited bandwidth on wireless communication channels. This paper proposes an asymmetric synchronization protocol to be used at runtime in an MDS without using a common reference. One main aspect of our synchronization protocol is that it translates temporal constraints to causal dependencies of the continuous media data as seen by the mobile hosts. We simulate the protocol by considering a cellular network environment and by using MPEG-4 encoders. The simulation results show that our protocol is effective in reducing the synchronization error. In addition, the protocol is efficient in terms of processing and storage costs at the mobile devices, as well as in the overhead attached per message across the wired and wireless channels.

Article

Asymmetric Causal Mobile distributed system Synchronization mechanism CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS CIENCIA DE LOS ORDENADORES CIENCIA DE LOS ORDENADORES

Initialisation and training procedures for wavelet networks applied to chaotic time series

VICENTE ALARCON AQUINO OLEG STAROSTENKO BASARAB JUAN MANUEL RAMIREZ CORTES MARIA DEL PILAR GOMEZ GIL EDGAR SALOMON GARCIA TREVIÑO (2010)

Wavelet networks are a class of neural network that take advantage of good localization properties of multi-resolution analysis and combine them with the approximation abilities of neural networks. This kind of networks uses wavelets as activation functions in the hidden layer and a type of back-propagation algorithm is used for its learning. However, the training procedure used for wavelet networks is based on the idea of continuous differentiable wavelets and some of the most powerful and used wavelets do not satisfy this property. In this paper we report an algorithm for initialising and training wavelet networks applied to the approximation of chaotic time series. The proposed algorithm which has its foundations on correlation analysis of signals allows the use of different types of wavelets, namely, Daubechies, Coiflets, and Symmlets. To show this, comparisons are made for chaotic time series approximation between the proposed approach and the typical wavelet network.

Article

Wavelet networks Wavelets Approximation theory Multi-resolution analysis Chaotic time series CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA ELECTRÓNICA

Biometric cryptosystem based on keystroke dynamics and k-medoids

VICENTE ALARCON AQUINO HECTOR AUGUSTO GARCIA BALEON JUAN MANUEL RAMIREZ CORTES María del Pilar Gómez Gil OLEG STAROSTENKO BASARAB (2011)

An approach for a biometric cryptosystem based on keystroke dynamics and the k-medoids algorithm is proposed. The stages that comprise the approach are training enrollment and user verification. The proposed approach is able to verify the identity of individuals offline avoiding the use of a centralized database. The approach as reported in this paper may be implemented in stand-alone terminals or embedded in password-based systems to increase the security. The performance of the proposed approach is assessed using 20 samples of keystroke dynamics from 20 different users. Simulation results show a false acceptance rate of 2.89% and a false rejection rate of 3.35%. The cryptographic key released by the proposed architecture may be used in several potential applications such as user login, file encryption or even portable authentication to gain access to virtual private networks.

Article

Biometrics Cryptography Keystroke dynamics K-medoids Minkowski distance CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ELECTRÓNICA ELECTRÓNICA