RT info:eu-repo/semantics/bookPart
T1 Feature selection in a low cost signature recognition system based on normalized signatures and fractional distances
A1 Vivaracho Pascual, Carlos Enrique
A1 Pascual Gaspar, Juan Manuel
A1 Cardeñoso Payo, Valentín
K1 Signature recognition system
K1 Sistema de reconocimiento de firma
K1 Feature selection
K1 Selección de caracteres
K1 2405 Biometría
AB In a previous work a new proposal for an efficient on-line signature recognition system with very low computational load and storage requirements was presented. This proposal is based on the use of size normalized signatures, which allows for similarity estimation, usually based on DTW or HMMs, to be performed by an easy distance calcultaion between vectors, which is computed using fractional distance. Here, a method to select representative features from the normalized signatures is presented. Only the most stable features in the training set are used for distance estimation. This supposes a larger reduction in system requirements, while the system performance is increased. The verification task has been carried out. The results achieved are about 30% and 20% better with skilled and random forgeries, respectively, than those achieved with a DTW-based system, with storage requirements between 15 and 142 times lesser and a processing speed between 274 and 926 times greater. The security of the system is also enhanced as only the representative features need to be stored, it being impossible to recover the original signature from these.
PB Springer
SN 978-3-642-01793-3
YR 2009
FD 2009
LK http://uvadoc.uva.es/handle/10324/41028
UL http://uvadoc.uva.es/handle/10324/41028
LA eng
NO Tistarelli, M.; Nixon, M.S. (eds). Advances in Biometrics: Third International Conference of Biometrics 2009. Berlin: Springer, 2009, p. 1209-1218
NO Producción Científica
DS UVaDOC
RD 21-may-2024