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Robust hand image processing for biometric application

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Abstract

A new approach for both hand image segmentation and feature extraction is described. The main advantage of this approach, namely its robustness to low quality images, is illustrated through verification experiments with two public databases: one with scanned images from 50 subjects and another one with low-quality images acquired from 23 subjects, from a conventional webcam. In both cases, features are successfully extracted and good performances are obtained, in spite of image quality. Moreover, the main drawbacks of feature extraction in conventional algorithms are highlighted.

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Notes

  1. Some papers, such as [3], do not provide an explanation for either how the arm is separated from the hand, or how finger tips are detected.

  2. Indeed, similar standard hand proportions are frequently used by art students, for instance.

  3. Database available for download at http://www.ufs.br/biochaves.

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Acknowledgments

This work was granted by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). We also thank all students and fellows whose samples (hand images) were used in this work. Finally, we thank the “Grupo de Procesado Digital de la Señal” (GPDS), Universidad de Las Palmas de Gran Canaria, whose publicly available database was used in this work.

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Authors and Affiliations

  1. Universidade Federal de Sergipe (UFS), São Cristóvão, CEP 49100-000, Brazil

    Jugurta Montalvão, Lucas Molina & Jânio Canuto

Authors
  1. Jugurta Montalvão
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  2. Lucas Molina
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  3. Jânio Canuto
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Correspondence to Jugurta Montalvão.

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Montalvão, J., Molina, L. & Canuto, J. Robust hand image processing for biometric application. Pattern Anal Applic 13, 397–407 (2010). https://doi.org/10.1007/s10044-010-0185-7

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