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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1179| 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, Vol. 18(1) (013012): 1-6 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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| 2009-GomezGilMaPilar-Shape-based hand recognition approach using.pdf | 554 kB | Adobe PDF | Visualizar/Abrir |