Título

Shape-based hand recognition approach using the morphological pattern spectrum

Autor

JUAN MANUEL RAMIREZ CORTES

MARIA DEL PILAR GOMEZ GIL

GABRIEL SANCHEZ PEREZ

Nivel de Acceso

Acceso Abierto

Resumen o descripción

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 featureextraction alternative for low- and medium-level hand-shape-based biometric applications.

Editor

SPIE and IS

&

T

Fecha de publicación

2009

Tipo de publicación

Artículo

Versión de la publicación

Versión aceptada

Formato

application/pdf

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Público en general

Sugerencia de citación

Ramirez-Cortes, J.M., et al., (2009). Shape-based hand recognition approach using the morphological pattern spectrum, Journal of Electronic Imaging, Vol. 18(1) (013012): 1-6

Repositorio Orígen

Repositorio Institucional del INAOE

Descargas

290

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