Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics

Rodríguez Luján, Irene and Bailador del Pozo, Gonzalo and Sánchez Ávila, Carmen and Herrero, Ana and Vidal de Miguel, Guillermo (2013). Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics. "Knowledge-Based Systems", v. 52 ; pp. 279-289. ISSN 0950-7051. https://doi.org/10.1016/j.knosys.2013.08.002.

Description

Title: Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics
Author/s:
  • Rodríguez Luján, Irene
  • Bailador del Pozo, Gonzalo
  • Sánchez Ávila, Carmen
  • Herrero, Ana
  • Vidal de Miguel, Guillermo
Item Type: Article
Título de Revista/Publicación: Knowledge-Based Systems
Date: November 2013
ISSN: 0950-7051
Volume: 52
Subjects:
Faculty: Centro de Domótica Integral (CeDInt) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 32322
DC Identifier: http://oa.upm.es/32322/
OAI Identifier: oai:oa.upm.es:32322
DOI: 10.1016/j.knosys.2013.08.002
Official URL: http://www.sciencedirect.com/science/article/pii/S0950705113002323
Deposited by: Memoria Investigacion
Deposited on: 06 Feb 2015 13:18
Last Modified: 05 Feb 2016 17:24
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