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Ponencia
Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller
Autor/es | Arcenegui Almenara, Javier
Arjona, Rosario Baturone Castillo, María Iluminada |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2017-11 |
Fecha de depósito | 2024-01-09 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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DASIP_2017.pdf | 65.70Kb | [PDF] | Ver/ | Versión aceptada |
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