Development of Door Safety Fingerprint Verification using Neural Network
Fingerprints can be used as natural keys. The unique fingerprint of a human being is potential for the security system. This research develops the door safety fingerprint verification using Neural Network. The component used in this research is fingerprint C3 as input processed by Arduino Uno ATMega...
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| Veröffentlicht in: | Journal of physics. Conference series 2019-11, Vol.1373 (1), p.12053 |
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| container_title | Journal of physics. Conference series |
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| creator | Yudhana, Anton Sunardi Priyatno |
| description | Fingerprints can be used as natural keys. The unique fingerprint of a human being is potential for the security system. This research develops the door safety fingerprint verification using Neural Network. The component used in this research is fingerprint C3 as input processed by Arduino Uno ATMega 2560. After a fingerprint scanning process is done, the microcontroller identifies the fingerprint image. From the microcontroller forwarded the relay module process with solenoid output. Arduino can be read by a computer using the Arduino IDE. Identification during registration via C3 sensor verified using the MATLAB application with the Neural Network method. The design created produces forward and backward solenoid motion, after being given an electric current between 5 to 12 Volts. The MATLAB application will verify the fingerprint image and display the image from the results of the verification done with the user. Research has been tested 10 times with various types of fingerprints with 100% verified so that this study was declared successful. |
| doi_str_mv | 10.1088/1742-6596/1373/1/012053 |
| format | Article |
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The unique fingerprint of a human being is potential for the security system. This research develops the door safety fingerprint verification using Neural Network. The component used in this research is fingerprint C3 as input processed by Arduino Uno ATMega 2560. After a fingerprint scanning process is done, the microcontroller identifies the fingerprint image. From the microcontroller forwarded the relay module process with solenoid output. Arduino can be read by a computer using the Arduino IDE. Identification during registration via C3 sensor verified using the MATLAB application with the Neural Network method. The design created produces forward and backward solenoid motion, after being given an electric current between 5 to 12 Volts. The MATLAB application will verify the fingerprint image and display the image from the results of the verification done with the user. Research has been tested 10 times with various types of fingerprints with 100% verified so that this study was declared successful.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1373/1/012053</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Fingerprint verification ; Fingerprinting ; Matlab ; Microcontrollers ; Neural networks ; Physics ; Safety ; Security systems ; Solenoids</subject><ispartof>Journal of physics. Conference series, 2019-11, Vol.1373 (1), p.12053</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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The MATLAB application will verify the fingerprint image and display the image from the results of the verification done with the user. 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| subjects | Fingerprint verification Fingerprinting Matlab Microcontrollers Neural networks Physics Safety Security systems Solenoids |
| title | Development of Door Safety Fingerprint Verification using Neural Network |
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