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Human Face Identification Using Invariant Descriptions and a Genetic Algorithm

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Progress in Artificial Intelligence — IBERAMIA 98 (IBERAMIA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1484))

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Abstract

A new method to automatically identify a human face onto a 2D gray level image is presented. The method uses an invariant description of the face and a genetic algorithm to accomplish the task. The features used are the first four translation, rotation and scale moment invariants proposed by Hu [1]. In a first step, an image possibly containing a face is first divided into small cells of fixed size of 5 × 5 pixels. For each cell, the ordinary moments are next computed. From these, the corresponding Hu’s invariants are then derived. Human face identification is thus accomplished by grouping individual cells using a genetic algorithm by fitting a specific cost function. This cost function corresponds to the invariant description of a human face given in terms of the detected image features.

This research was supported by the Consejo Nacional de Ciencia y Tecnología de México (CONACyT), the Consejo del Sistema Nacional de Educación Tecnológica de México (COSNET) and the Centro de Investigación en Computación of the IPN (CIC-IPN) and the Centro de Investigación y de Estudios Avanzados of the IPN (CINVESTAV-IPN).

R. Pinto is a Ph.D. student at the Sección de Control Automático of the CINVESTAV-IPN.

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Author information

Authors and Affiliations

  1. Centro Nacional de Investigación y Desarrollo Tecnológico, Prolongación Av. Palmira S/N, Col. Iternado Palmira, Cuernavaca, Morelos, C.P. 62490, México

    R. Pinto-Elías

  2. Unidad Profesional Adolfo López Mateos, Centro de Investigación en Computación-IPN, Av. Juan de Dios Bátiz esquina con M. Othón de Mendizábal, México, D.F., C.P. 07730, México

    J. H. Sossa-Azuela

Authors
  1. R. Pinto-Elías
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  2. J. H. Sossa-Azuela
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Editor information

Editors and Affiliations

  1. Dep. Informática, Fac. Ciências de Lisboa, Bloco C5, Piso 1, Campo Grande, 1700, Lisboa, Portugal

    Helder Coelho

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© 1998 Springer-Verlag Berlin Heidelberg

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Pinto-Elías, R., Sossa-Azuela, J.H. (1998). Human Face Identification Using Invariant Descriptions and a Genetic Algorithm. In: Coelho, H. (eds) Progress in Artificial Intelligence — IBERAMIA 98. IBERAMIA 1998. Lecture Notes in Computer Science(), vol 1484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49795-1_26

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  • DOI: https://doi.org/10.1007/3-540-49795-1_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64992-2

  • Online ISBN: 978-3-540-49795-0

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