User identification system for inked fingerprint pattern based on central moments
The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint reco...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/32758/ http://umpir.ump.edu.my/id/eprint/32758/1/User%20identification%20system%20for%20inked%20fingerprint%20pattern%20based%20on%20central%20moments.pdf |
| _version_ | 1848824102943457280 |
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| author | Baker, E. J. Alazawi, S. A. Ahmed, N. T. Ismail, M. A. Hassan, R. Halim, S. A. Sutikno, T. |
| author_facet | Baker, E. J. Alazawi, S. A. Ahmed, N. T. Ismail, M. A. Hassan, R. Halim, S. A. Sutikno, T. |
| author_sort | Baker, E. J. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71. |
| first_indexed | 2025-11-15T03:07:42Z |
| format | Article |
| id | ump-32758 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:07:42Z |
| publishDate | 2021 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-327582022-02-21T04:55:10Z http://umpir.ump.edu.my/id/eprint/32758/ User identification system for inked fingerprint pattern based on central moments Baker, E. J. Alazawi, S. A. Ahmed, N. T. Ismail, M. A. Hassan, R. Halim, S. A. Sutikno, T. QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71. Institute of Advanced Engineering and Science 2021-11 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/32758/1/User%20identification%20system%20for%20inked%20fingerprint%20pattern%20based%20on%20central%20moments.pdf Baker, E. J. and Alazawi, S. A. and Ahmed, N. T. and Ismail, M. A. and Hassan, R. and Halim, S. A. and Sutikno, T. (2021) User identification system for inked fingerprint pattern based on central moments. Indonesian Journal of Electrical Engineering and Computer Science, 24 (2). pp. 1149-1160. ISSN 2502-4752. (Published) http://doi.org/10.11591/ijeecs.v24.i2.pp1149-1160 http://doi.org/10.11591/ijeecs.v24.i2.pp1149-1160 |
| spellingShingle | QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Baker, E. J. Alazawi, S. A. Ahmed, N. T. Ismail, M. A. Hassan, R. Halim, S. A. Sutikno, T. User identification system for inked fingerprint pattern based on central moments |
| title | User identification system for inked fingerprint pattern based on central moments |
| title_full | User identification system for inked fingerprint pattern based on central moments |
| title_fullStr | User identification system for inked fingerprint pattern based on central moments |
| title_full_unstemmed | User identification system for inked fingerprint pattern based on central moments |
| title_short | User identification system for inked fingerprint pattern based on central moments |
| title_sort | user identification system for inked fingerprint pattern based on central moments |
| topic | QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/32758/ http://umpir.ump.edu.my/id/eprint/32758/ http://umpir.ump.edu.my/id/eprint/32758/ http://umpir.ump.edu.my/id/eprint/32758/1/User%20identification%20system%20for%20inked%20fingerprint%20pattern%20based%20on%20central%20moments.pdf |