Shape-based hand recognition approach using the morphological pattern spectrum

Juan Manuel Ramirez-Cortes; Pilar Gomez-Gil; Gabriel Sanchez-Perez; Cesar Prieto-Castron

doi:10.1117/1.3099712

1 January 2009 Shape-based hand recognition approach using the morphological pattern spectrum

Juan Manuel Ramirez-Cortes, Pilar Gomez-Gil, Gabriel Sanchez-Perez, Cesar Prieto-Castron

Author Affiliations +

Journal of Electronic Imaging, Vol. 18, Issue 1, 013012 (January 2009). https://doi.org/10.1117/1.3099712

Abstract

We propose the use of the morphological pattern spectrum, or pecstrum, as the base of a biometric shape-based hand recognition system. The system receives an image of the right hand of a subject in an unconstrained pose, which is captured with a commercial flatbed scanner. According to pecstrum property of invariance to translation and rotation, the system does not require the use of pegs for a fixed hand position, which simplifies the image acquisition process. This novel feature-extraction method is tested using a Euclidean distance classifier for identification and verification cases, obtaining 97% correct identification, and an equal error rate (EER) of 0.0285 (2.85%) for the verification mode. The obtained results indicate that the pattern spectrum represents a good feature-extraction alternative for low- and medium-level hand-shape-based biometric applications.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Juan Manuel Ramirez-Cortes, Pilar Gomez-Gil, Gabriel Sanchez-Perez, and Cesar Prieto-Castron "Shape-based hand recognition approach using the morphological pattern spectrum," Journal of Electronic Imaging 18(1), 013012 (1 January 2009). https://doi.org/10.1117/1.3099712

Published: 1 January 2009

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