ManuScript Details
Paper Id:
|
IJCIRAS1604
|
Title:
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FINGERPRINT RFID RECOGNITION SYSTEM
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Published in: |
International Journal Of Creative and Innovative Research In All Studies |
Publisher: |
IJCIRAS |
ISSN: |
2581-5334 |
Volume / Issue: |
Volume 3 Issue 1 |
Pages: |
5
|
Published On: |
6/7/2020 11:30:39 PM (MM/dd/yyyy) |
PDF Url: |
http://www.ijciras.com/PublishedPaper/IJCIRAS1604.pdf |
Main Author Details
Name:
|
Khaing Thanda Swe |
Institute: |
Mandalay Technological University, Myanmar |
Co - Author Details
Author Name |
Author Institute |
Thiri Kyaw |
Mandalay Technological University, Myanmar |
Abstract
Research Area:
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Computer Science & Engineering |
KeyWord: |
id-card, RFID, MySQL, Mefair 1k and SDK |
Abstract: |
Identification is essential in today society for every developed country. At the early stage, the people make personal identification using their id-card. Later, with the emerging technology, everyone can identify the other using different recognition systems such as face, speech, facial, iris, fingerprint recognition and many other biometrics. Among them, the easiest and cheapest recognition system is fingerprint. So the proposed system uses the fingerprint recognition for person identification. Another reason for choosing fingerprint is that its accuracy has also the acceptable rate with the combination usage of RFID. The system first trains the features of fingerprint for each. At the training stage, the system passes the preprocessed step and features extraction step. After getting the features of the fingerprint, the system stores these features into the database (MySQL) and also writes these data onto the RFID card (Mefair 1k) with the help of the RFID reader (SDK reader). When the user comes into the paperless identification system together with RFID card, the system identifies the person is authentic or not by matching the fingerprint features on the RFID card and system’s generation of the fingerprint features with the real time usage. Here, the main point of the proposed system is to get the exact features of the fingerprint and then to get the correct reading of RFID card. So, the proposed system uses the correlation technique to get the accurate features based on five statistical approaches such as entropy, joint entropy, relative entropy, mutual information and smoothness. Finally the system evaluates the accuracy of the recognition rate with the existing methods. |
Citations
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
IEEE
|
Khaing Thanda Swe, Thiri Kyaw , "FINGERPRINT RFID RECOGNITION SYSTEM", International Journal Of Creative and Innovative Research In All Studies,
vol. 3, no. 1, pp. 21-25, 2020.
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MLA
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Khaing Thanda Swe, Thiri Kyaw "FINGERPRINT RFID RECOGNITION SYSTEM." International Journal Of Creative and Innovative Research In All Studies,
vol 3, no. 1, 2020, pp. 21-25.
|
APA
|
Khaing Thanda Swe, Thiri Kyaw (2020). FINGERPRINT RFID RECOGNITION SYSTEM. International Journal Of Creative and Innovative Research In All Studies,
3(1), 21-25.
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FINGERPRINT RFID RECOGNITION SYSTEM
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