Online fingerprint recognition
Fingerprints are the most popularly used in biometric identification and recognition systems, because they can be easily used and their features are highly reliable. Because of their uniqueness and consistency over time, fingerprint has been used for identification for over a century, more recently...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2010
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1985/ http://umpir.ump.edu.my/id/eprint/1985/1/Khairul_Bariyah_Abd_Rahim_%28_CD_5385_%29.pdf |
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ump-1985 |
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| recordtype |
eprints |
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ump-19852015-03-03T07:53:57Z http://umpir.ump.edu.my/id/eprint/1985/ Online fingerprint recognition Khairul Bariyah, Abd Rahim TK Electrical engineering. Electronics Nuclear engineering Fingerprints are the most popularly used in biometric identification and recognition systems, because they can be easily used and their features are highly reliable. Because of their uniqueness and consistency over time, fingerprint has been used for identification for over a century, more recently becoming automated due to advancements in computing capabilities. The systems are increasingly employed into business, trading and living fields for automatic personal identification. Besides that, fingerprint recognition beyond criminal identification applications to several civilian applications such as access control, time and attendance, and computer user login. This project introduces and implementation of an online fingerprint recognition system which is capable of verifying identities of people so fast, accurate and suitable for the real time. Such a system has great utility in a variety of personal identification and access control applications by operating in minutiae extraction and minutiae matching. Minutiae extraction algorithm is implemented for extracting features from an input fingerprint image captured with an online inkless scanner. For minutiae matching, the matching algorithm has been developed. This algorithm is capable of finding the correspondences between minutiae in the input image and store template. The system will be tested on set of fingerprint images captured with inkless scanner. The recognition accuracy is found to be acceptable. This result shows that our systems meet the response requirement of online recognition with high accuracy. All the systems will be built using MATLAB software 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1985/1/Khairul_Bariyah_Abd_Rahim_%28_CD_5385_%29.pdf Khairul Bariyah, Abd Rahim (2010) Online fingerprint recognition. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Khairul Bariyah, Abd Rahim Online fingerprint recognition |
| description |
Fingerprints are the most popularly used in biometric identification and recognition systems, because they can be easily used and their features are highly reliable. Because of their uniqueness and consistency over time, fingerprint has been used for identification for over a century, more recently becoming automated due to advancements in computing capabilities. The systems are increasingly employed into business, trading and living fields for automatic personal identification. Besides that, fingerprint recognition beyond criminal identification applications to several civilian applications such as access control, time and attendance, and computer user login. This project introduces and implementation of an online fingerprint recognition system which is capable of verifying identities of people so fast, accurate and suitable for the real time. Such a system has great utility in a variety of personal identification and access control applications by operating in minutiae extraction and minutiae matching. Minutiae extraction algorithm is implemented for extracting features from an input fingerprint image captured with an online inkless scanner. For minutiae matching, the matching algorithm has been developed. This algorithm is capable of finding the correspondences between minutiae in the input image and store template. The system will be tested on set of fingerprint images captured with inkless scanner. The recognition accuracy is found to be acceptable. This result shows that our systems meet the response requirement of online recognition with high accuracy. All the systems will be built using MATLAB software |
| format |
Undergraduates Project Papers |
| author |
Khairul Bariyah, Abd Rahim |
| author_facet |
Khairul Bariyah, Abd Rahim |
| author_sort |
Khairul Bariyah, Abd Rahim |
| title |
Online fingerprint recognition |
| title_short |
Online fingerprint recognition |
| title_full |
Online fingerprint recognition |
| title_fullStr |
Online fingerprint recognition |
| title_full_unstemmed |
Online fingerprint recognition |
| title_sort |
online fingerprint recognition |
| publishDate |
2010 |
| url |
http://umpir.ump.edu.my/id/eprint/1985/ http://umpir.ump.edu.my/id/eprint/1985/1/Khairul_Bariyah_Abd_Rahim_%28_CD_5385_%29.pdf |
| first_indexed |
2023-09-18T21:55:24Z |
| last_indexed |
2023-09-18T21:55:24Z |
| _version_ |
1777414045459021824 |