Improving the Viola-Jones Algorithm in Thermal Face Recognition of Images

Authors

  • Luis Alberto Hernández Montiel Instituto Nacional de México, Instituto Tecnológico de Apizaco
  • Edmundo Bonilla Huerta Instituto Nacional de México, Instituto Tecnológico de Apizaco
  • José Crispín Hernández Hernández Instituto Nacional de México, Instituto Tecnológico de Apizaco
  • Roberto Morales Caporal Instituto Nacional de México, Instituto Tecnológico de Apizaco

DOI:

https://doi.org/10.13053/cys-29-2-4641

Keywords:

Viola-Jones, Thermal Image, Segmentation, Linguistic Modifiers, Preprocessing.

Abstract

In this paper, a method to improve the performance of Viola-Jones algorithm in finding the relevant parts of a face in thermal images is proposed. First, thermal images are acquired in a semi-controlled environment then images containing noise are cleaned. In the next step, the face image is segmented and then enhanced with linguistic modifiers and DIP techniques. Finally, the Viola-Jones algorithm is applied to detect the parts of the face such as the mouth, nose, and eyes. The experimental results show that the proposed method is effective since it achieves a high hit rate.

Author Biographies

Luis Alberto Hernández Montiel, Instituto Nacional de México, Instituto Tecnológico de Apizaco

Departamento de posgrado e investigación

Edmundo Bonilla Huerta, Instituto Nacional de México, Instituto Tecnológico de Apizaco

Departamento de posgrado e investigación

José Crispín Hernández Hernández, Instituto Nacional de México, Instituto Tecnológico de Apizaco

Departamento de posgrado e investigación

Roberto Morales Caporal, Instituto Nacional de México, Instituto Tecnológico de Apizaco

Departamento de posgrado e investigación

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Published

2025-06-18

Issue

Vol. 29 No. 2 (2025): 29(2) 2025

Section

Articles

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