A decision step for shape context matching

This work presents a novel contribution in the field of shape recognition, in general, and in the Shape Context technique, in particular. We propose to address the problem of deciding if two shape context descriptors match or not using an a contrario approach. Its key advantage is to provide a measu...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tepper, M., Acevedo, D., Goussies, N., Jacobo, J., Mejail, M.
Formato: CONF
Materias:
A contrario matching
Shape context
Shape recognition
Image processing
Imaging systems
Descriptors
License plate images
Recognition process
Shape contexts
Optical character recognition
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15224880_v_n_p409_Tepper
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:This work presents a novel contribution in the field of shape recognition, in general, and in the Shape Context technique, in particular. We propose to address the problem of deciding if two shape context descriptors match or not using an a contrario approach. Its key advantage is to provide a measure of the quality of each match, which is a powerful tool for later recognition processes. We tested the proposed combination of Shape Context and the a contrario framework in character recognition from license plate images. ©2009 IEEE.

Ejemplares similares