Automotive Start–Stop Engine Based on Fingerprint Recognition System
Automated vehicle security system plays an important rule in nowadays advance automotive technology. One of the methods which can be applied for a security system is based on biometric identification system. Fingerprint recognition is one of the biometric systems that can be applied to the security...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01022.pdf |
| _version_ | 1818916733949313024 |
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| author | Rivandi Pranoko Winda Astuti Satrio Dewanto Solihin Mahmud Iwan |
| author_facet | Rivandi Pranoko Winda Astuti Satrio Dewanto Solihin Mahmud Iwan |
| author_sort | Rivandi Pranoko |
| collection | DOAJ |
| description | Automated vehicle security system plays an important rule in nowadays advance automotive technology. One of the methods which can be applied for a security system is based on biometric identification system. Fingerprint recognition is one of the biometric systems that can be applied to the security system. In this work, fingerprint recognition system to start the motorcycle engine is developed. The fingerprint of the owner and other authorized persons will be stored into the database, then while the time of starting the engine of the vehicle, the fingerprint will be validated with the database. The minutiae extraction method is applied to find the difference of fingerprint each other after turn the image into grayscale and thinning. After the extraction, the next step is finding the ridge edge and bifurcation. The result of the image will be used as input to the Artificial Neural Network (ANN) to recognize authorized person only. The experiment of fingerprint recognition system shows that automatic start-stop engine using fingerprint recognition system based minutiae extraction and Artificial Neural Network (ANN) has accuracy 100 % and 100 %, respectively. |
| first_indexed | 2024-12-20T00:22:52Z |
| format | Article |
| id | doaj.art-291b9a5752b34769958c40a695aa9155 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-20T00:22:52Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-291b9a5752b34769958c40a695aa91552022-12-21T20:00:08ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011300102210.1051/e3sconf/201913001022e3sconf_ic-amme2018_01022Automotive Start–Stop Engine Based on Fingerprint Recognition SystemRivandi PranokoWinda AstutiSatrio DewantoSolihin Mahmud IwanAutomated vehicle security system plays an important rule in nowadays advance automotive technology. One of the methods which can be applied for a security system is based on biometric identification system. Fingerprint recognition is one of the biometric systems that can be applied to the security system. In this work, fingerprint recognition system to start the motorcycle engine is developed. The fingerprint of the owner and other authorized persons will be stored into the database, then while the time of starting the engine of the vehicle, the fingerprint will be validated with the database. The minutiae extraction method is applied to find the difference of fingerprint each other after turn the image into grayscale and thinning. After the extraction, the next step is finding the ridge edge and bifurcation. The result of the image will be used as input to the Artificial Neural Network (ANN) to recognize authorized person only. The experiment of fingerprint recognition system shows that automatic start-stop engine using fingerprint recognition system based minutiae extraction and Artificial Neural Network (ANN) has accuracy 100 % and 100 %, respectively.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01022.pdfbiometric recognition systemimage processingneural network |
| spellingShingle | Rivandi Pranoko Winda Astuti Satrio Dewanto Solihin Mahmud Iwan Automotive Start–Stop Engine Based on Fingerprint Recognition System E3S Web of Conferences biometric recognition system image processing neural network |
| title | Automotive Start–Stop Engine Based on Fingerprint Recognition System |
| title_full | Automotive Start–Stop Engine Based on Fingerprint Recognition System |
| title_fullStr | Automotive Start–Stop Engine Based on Fingerprint Recognition System |
| title_full_unstemmed | Automotive Start–Stop Engine Based on Fingerprint Recognition System |
| title_short | Automotive Start–Stop Engine Based on Fingerprint Recognition System |
| title_sort | automotive start stop engine based on fingerprint recognition system |
| topic | biometric recognition system image processing neural network |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01022.pdf |
| work_keys_str_mv | AT rivandipranoko automotivestartstopenginebasedonfingerprintrecognitionsystem AT windaastuti automotivestartstopenginebasedonfingerprintrecognitionsystem AT satriodewanto automotivestartstopenginebasedonfingerprintrecognitionsystem AT solihinmahmudiwan automotivestartstopenginebasedonfingerprintrecognitionsystem |