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
Materias
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
Recurso de información
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