A new biometric matching fingerprints system for personal authentication using R305
Now days, security is the main concerning research area for public and private sectors. Security become a major issue in many of our daily life places such as offices, libraries, hospitals, houses, laboratories, educational institutes, military areas etc where in these places, our privacy and confid...
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| Format: | Article |
| Language: | en |
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Excelligent Academia
2020
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| Online Access: | http://eprints.uthm.edu.my/6245/1/AJ%202020%20%28253%29.pdf http://eprints.uthm.edu.my/6245/ |
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| author | Urooj Khan, Samra Abbasi, Waseem Mohd Nawi, Nazri Khan, Zoya Naqeeb Khan, Sundas ur-Rahman, Atta- |
| author_facet | Urooj Khan, Samra Abbasi, Waseem Mohd Nawi, Nazri Khan, Zoya Naqeeb Khan, Sundas ur-Rahman, Atta- |
| author_sort | Urooj Khan, Samra |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Now days, security is the main concerning research area for public and private sectors. Security become a major issue in many of our daily life places such as offices, libraries, hospitals, houses, laboratories, educational institutes, military areas etc where in these places, our privacy and confidentiality are very high. A number of methods used to solve this issue in different ways. One of the methods used for authentication of any individual to desired place entrance is door lock security system. This paper implements R305 which is a fingerprint based system design that that used security system for authentication on fingerprint process along its unique patterns. Furthermore, Arduino UNO device is used for this physical security by fingerprints. This project will become a prototype of biometric system since each fingerprint has a unique pattern and cannot be stolen, shared or any type of rudeness. The effectiveness of the proposed system has been verified and the results show that 95% accuracy with matching results on selected datasets. |
| format | Article |
| id | my.uthm.eprints-6245 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2020 |
| publisher | Excelligent Academia |
| record_format | eprints |
| spelling | my.uthm.eprints-62452022-01-27T06:43:12Z http://eprints.uthm.edu.my/6245/ A new biometric matching fingerprints system for personal authentication using R305 Urooj Khan, Samra Abbasi, Waseem Mohd Nawi, Nazri Khan, Zoya Naqeeb Khan, Sundas ur-Rahman, Atta- T59.7-59.77 Human engineering in industry. Man-machine systems Now days, security is the main concerning research area for public and private sectors. Security become a major issue in many of our daily life places such as offices, libraries, hospitals, houses, laboratories, educational institutes, military areas etc where in these places, our privacy and confidentiality are very high. A number of methods used to solve this issue in different ways. One of the methods used for authentication of any individual to desired place entrance is door lock security system. This paper implements R305 which is a fingerprint based system design that that used security system for authentication on fingerprint process along its unique patterns. Furthermore, Arduino UNO device is used for this physical security by fingerprints. This project will become a prototype of biometric system since each fingerprint has a unique pattern and cannot be stolen, shared or any type of rudeness. The effectiveness of the proposed system has been verified and the results show that 95% accuracy with matching results on selected datasets. Excelligent Academia 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6245/1/AJ%202020%20%28253%29.pdf Urooj Khan, Samra and Abbasi, Waseem and Mohd Nawi, Nazri and Khan, Zoya and Naqeeb Khan, Sundas and ur-Rahman, Atta- (2020) A new biometric matching fingerprints system for personal authentication using R305. Academia of Information Computing Research, 1 (1). pp. 1-9. ISSN 2716-6465 |
| spellingShingle | T59.7-59.77 Human engineering in industry. Man-machine systems Urooj Khan, Samra Abbasi, Waseem Mohd Nawi, Nazri Khan, Zoya Naqeeb Khan, Sundas ur-Rahman, Atta- A new biometric matching fingerprints system for personal authentication using R305 |
| title | A new biometric matching fingerprints system for personal authentication using R305 |
| title_full | A new biometric matching fingerprints system for personal authentication using R305 |
| title_fullStr | A new biometric matching fingerprints system for personal authentication using R305 |
| title_full_unstemmed | A new biometric matching fingerprints system for personal authentication using R305 |
| title_short | A new biometric matching fingerprints system for personal authentication using R305 |
| title_sort | new biometric matching fingerprints system for personal authentication using r305 |
| topic | T59.7-59.77 Human engineering in industry. Man-machine systems |
| url | http://eprints.uthm.edu.my/6245/1/AJ%202020%20%28253%29.pdf http://eprints.uthm.edu.my/6245/ |
| url_provider | http://eprints.uthm.edu.my/ |