dc.creatorJUAN MANUEL RAMIREZ CORTES
dc.creatorMaría del Pilar Gómez Gil
dc.creatorVICENTE ALARCON AQUINO
dc.creatorJOSE MIGUEL DAVID BAEZ LOPEZ
dc.creatorROGERIO ADRIAN ENRIQUEZ CALDERA
dc.date2011
dc.date.accessioned2023-07-25T16:24:15Z
dc.date.available2023-07-25T16:24:15Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1742
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806934
dc.descriptionThis paper presents a hand-shape biometric system based on a novel feature extraction methodology using the morphological pattern spectrum or pecstrum. Identification experiments were carried out using the obtained feature vectors as an input to some recognition systems using neural networks and support vector machine (SVM) techniques, obtaining in average an identification of 98.5%. The verification case was analyzed through an Euclidean distance classifier, obtaining the acceptance rate (FAR) and false rejection rate (FRR) of the system for some K-fold cross validation experiments. In average, an Equal Error Rate of 2.85% was obtained. The invariance to rotation and position properties of the pecstrum allow the system to avoid a fixed hand position using pegs, as is the case in other reported systems. The results indicate that the pattern spectrum represents a good alternative of feature extraction for biometric applications.
dc.formatapplication/pdf
dc.languageeng
dc.publisherVilnius University
dc.relationcitation:Ramirez-Cortes, J.M., et al., (2011). A biometric system based on neural networks and SVM using morphological feature extraction from hand-shape images, INFORMATICA, Vol. 22, (2): 225–240
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Biometry/Biometry
dc.subjectinfo:eu-repo/classification/Pattern spectrum/Pattern spectrum
dc.subjectinfo:eu-repo/classification/Hand-shape/Hand-shape
dc.subjectinfo:eu-repo/classification/Verification/Verification
dc.subjectinfo:eu-repo/classification/Identification/Identification
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2203
dc.subjectinfo:eu-repo/classification/cti/2203
dc.titleA biometric system based on neural networks and SVM using morphological feature extraction from hand-shape images
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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