loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Carlos M. Travieso 1 ; Jordi Solé-Casals 2 ; Miguel A. Ferrer 1 and Jesús B. Alonso 1

Affiliations: 1 Technological Centre for Innovation in Communnications, University of Las Palmas de Gran Canaria, Spain ; 2 Digital Technologies Group, University of Vic, Spain

ISBN: 978-989-674-018-4

Keyword(s): Principal Component Analysis, Pattern Recognition, Hand Biometric System, Parameterization, Feature reduction, Classification system.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Telecommunications

Abstract: In real-time biometric systems, computational time is a critical and important parameter. In order to improve it, simpler systems are necessary but without loosing classification rates. In this present work, we explore how to improve the characteristics of a hand biometric system by reducing the computational time. For this task, neural network-multi layer Perceptron (NN-MLP) are used instead of original Hidden Markov Model (HMM) system and classical Principal Component Analysis (PCA) procedure is combined with MLP in order to obtain better results. As showed in the experiments, the new proposed PCA+MLP system achieves same success rate while computational time is reduced from 247 seconds (HMM case) to 7.3 seconds.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.234.214.179

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Travieso C.; Solé-Casals J.; Ferrer M.; Alonso J. and (2010). FEATURE AND COMPUTATIONAL TIME REDUCTION ON HAND BIOMETRIC SYSTEM.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 367-372. DOI: 10.5220/0002591503670372

@conference{biosignals10,
author={Carlos M. Travieso and Jordi Solé{-}Casals and Miguel A. Ferrer and Jesús B. Alonso},
title={FEATURE AND COMPUTATIONAL TIME REDUCTION ON HAND BIOMETRIC SYSTEM},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={367-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002591503670372},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - FEATURE AND COMPUTATIONAL TIME REDUCTION ON HAND BIOMETRIC SYSTEM
SN - 978-989-674-018-4
AU - Travieso, C.
AU - Solé-Casals, J.
AU - Ferrer, M.
AU - Alonso, J.
PY - 2010
SP - 367
EP - 372
DO - 10.5220/0002591503670372

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.