{"title":"Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller","authors":"Javier Arcenegui, Rosario Arjona, I. Baturone","doi":"10.1109/DASIP.2017.8122121","DOIUrl":null,"url":null,"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 low-power 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.","PeriodicalId":6637,"journal":{"name":"2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)","volume":"67 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASIP.2017.8122121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
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 low-power 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.
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