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Shape-based hand recognition approach using the morphological pattern spectrum
JUAN MANUEL RAMIREZ CORTES
MARIA DEL PILAR GOMEZ GIL
GABRIEL SANCHEZ PEREZ
Acceso Abierto
Atribución-NoComercial-SinDerivadas
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.
SPIE and IS&T
2009
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Ramirez-Cortes, J.M., et al., (2009). Shape-based hand recognition approach using the morphological pattern spectrum, Journal of Electronic Imaging 18(1), (013012): 1-6
ELECTRÓNICA
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Artículos de Electrónica

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