A Study of Highest Perfusion Zones as Biometric Representation

Authors

  • Raúl Santiago Montero Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación
  • Raúl Aguilar Figueroa Instituto Tecnológico de Zitácuaro
  • Agustín Sancen Plaza Instituto Tecnológico de Celaya, Department of Engineering Sciences
  • María del Rosario Baltazar Flores Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación
  • David Asael Gutiérrez Hernández Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación
  • Juan Francisco Mosiño Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación

DOI:

https://doi.org/10.13053/cys-1-1-2911

Keywords:

Face recognition, thermal image, perfusion zones, shape description

Abstract

Biometrics focuses on simulate the human ability to associate one or a set of corporal features of a person in a unique way by uses a specific representation, this representation is knows as identity. Visible spectrum face recognition is the identification way more natural which has a higher universality, collectability and acceptability front to the other biometrics modalities, but is weak in the invariance and distinctiveness criterion to be a good biometric. In order to improve the face recognition, the infrared spectrum arises as a good representation to solve these drawbacks in biometric identification. Buddharaju et al., proposed a process by which the vascular net is detected [4] . However, Wu et al., criticized this approach by not take into account the heat transfer between the environment and the person in the time to take the image and proposed a modification of image thermogram and show that it is a better solution to make up for the heat change [19, 21]. This paper is written intending to know if there is a significant difference between both approach to be used as biometric representation. We found that the normalization of the thermograms, proposed by Wu, do not affect the distinctive zones of high blood perfusion to be used as biometric representation.

Author Biographies

Raúl Santiago Montero, Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación

Ph.D. 

Raúl Aguilar Figueroa, Instituto Tecnológico de Zitácuaro

Master 

Agustín Sancen Plaza, Instituto Tecnológico de Celaya, Department of Engineering Sciences

Master

María del Rosario Baltazar Flores, Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación

Philosofer Doctor

David Asael Gutiérrez Hernández, Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación

Philosofer Doctor

Juan Francisco Mosiño, Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación

Philosofer Doctor

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Published

2020-03-25

Issue

Vol. 24 No. 1 (2020): 24(1)2020

Section

Articles

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