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Journal of Electronic Imaging

Shape-based hand recognition approach using the morphological pattern spectrum
Author(s): Juan Manuel Ramirez-Cortes; Pilar Gomez-Gil; Gabriel Sanchez-Perez; Cesar Prieto-Castron
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Paper 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.

Paper Details

Date Published: 1 January 2009
PDF: 6 pages
J. Electron. Imaging. 18(1) 013012 doi: 10.1117/1.3099712
Published in: Journal of Electronic Imaging Volume 18, Issue 1
Show Author Affiliations
Juan Manuel Ramirez-Cortes, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Pilar Gomez-Gil, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Gabriel Sanchez-Perez, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Cesar Prieto-Castron, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)

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