Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller

Arcenegui Almenara, Javier; Arjona, Rosario; Baturone Castillo, María Iluminada

doi:10.1109/DASIP.2017.8122121

Ponencia

dc.creator	Arcenegui Almenara, Javier	es
dc.creator	Arjona, Rosario	es
dc.creator	Baturone Castillo, María Iluminada	es
dc.date.accessioned	2024-01-09T10:51:43Z
dc.date.available	2024-01-09T10:51:43Z
dc.date.issued	2017-11
dc.identifier.citation	Arcenegui Almenara, J., Arjona, R. y Baturone Castillo, M.I. (2017). Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller. En 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP) Dresden, Germany: IEEE.
dc.identifier.uri	https://hdl.handle.net/11441/153064
dc.description.abstract	A demonstrator has been developed to illustrate the performance of a lightweight fingerprint recognition algorithm based on the feature QFingerMap16, which is extracted from a window of the directional image centered at the convex core of the fingerprint. The algorithm has been implemented into a lowpower ARM Cortex-M3 microcontroller included in a Texas Instruments LaunchPad CC2650 evaluation kit. It has been also implemented in a Raspberry Pi 2 so as to show the results obtained at the successive steps of the recognition process with the aid of a Graphical User Interface (GUI). The algorithm offers a good tradeoff between power consumption and recognition accuracy, being suitable for authentication on wearables.	es
dc.format	application/pdf	es
dc.format.extent	2 p.	es
dc.language.iso	eng	es
dc.publisher	IEEE	es
dc.relation.ispartof	2017 Conference on Design and Architectures for Signal and Image Processing (DASIP) (2017).
dc.subject	biometrics	es
dc.subject	fingerprint recognition	es
dc.subject	lightweight algorithms	es
dc.subject	microcontrollers	es
dc.subject	wearables	es
dc.title	Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo	es
dc.relation.publisherversion	https://dx.doi.org/10.1109/DASIP.2017.8122121	es
dc.identifier.doi	10.1109/DASIP.2017.8122121	es
dc.eventtitle	2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)	es
dc.eventinstitution	Dresden, Germany	es

Ficheros	Tamaño	Formato	Ver	Descripción
DASIP_2017.pdf	65.70Kb	[PDF]	Ver/Abrir	Versión aceptada

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Este documento está protegido por los derechos de propiedad intelectual e industrial. Sin perjuicio de las exenciones legales existentes, queda prohibida su reproducción, distribución, comunicación pública o transformación sin la autorización del titular de los derechos, a menos que se indique lo contrario.