dc.creatorJUAN MANUEL RAMIREZ CORTES
dc.creatorMARIA DEL PILAR GOMEZ GIL
dc.creatorGABRIEL SANCHEZ PEREZ
dc.date2009
dc.date.accessioned2023-07-25T16:23:20Z
dc.date.available2023-07-25T16:23:20Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1270
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806467
dc.descriptionWe 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.
dc.formatapplication/pdf
dc.languageeng
dc.publisherSPIE and IS&T
dc.relationcitation: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
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
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.titleShape-based hand recognition approach using the morphological pattern spectrum
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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