Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics
Year:2013
Research Areas
  • Engineering
Information
Abstract
In this paper, we analyze the performance of several well-known pattern recognition and dimensionality reduction techniques when applied to mass-spectrometry data for odor biometric identification. Motivated by the successful results of previous works capturing the odor from other parts of the body, this work attempts to evaluate the feasibility of identifying people by the odor emanated from the hands. By formulating this task according to a machine learning scheme, the problem is identified with a small-sample-size supervised classification problem in which the input data is formed by mass spectrograms from the hand odor of 13 subjects captured in different sessions. The high dimensionality of the data makes it necessary to apply feature selection and extraction techniques together with a simple classifier in order to improve the generalization capabilities of the model. Our experimental results achieve recognition rates over 85% which reveals that there exists discriminatory information in the hand odor and points at body odor as a promising biometric identifier.
International
Si
JCR
Si
Title
KNOWLEDGE-BASED SYSTEMS
ISBN
0950-7051
Impact factor JCR
2,422
Impact info
Volume
52
10.1016/j.knosys.2013.08.002
Journal number
From page
279
To page
289
Month
SIN MES
Ranking
0
Participants
  • Autor: Irene Rodríguez Luján (UPM)
  • Autor: Gonzalo Bailador Pozo (UPM)
  • Autor: Maria del Carmen Sanchez Avila (UPM)
  • Autor: ana herrero
  • Autor: guillermo vidal-de-miguel
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a las Tecnologías de la Información
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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