Postprocessing algorithm for security features extraction
One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26996/ http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf |
| _version_ | 1848822677866807296 |
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| author | Rozita, Mohd Yusof Norrozila, Sulaiman |
| author_facet | Rozita, Mohd Yusof Norrozila, Sulaiman |
| author_sort | Rozita, Mohd Yusof |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features. |
| first_indexed | 2025-11-15T02:45:03Z |
| format | Conference or Workshop Item |
| id | ump-26996 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:45:03Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-269962020-03-22T23:32:12Z http://umpir.ump.edu.my/id/eprint/26996/ Postprocessing algorithm for security features extraction Rozita, Mohd Yusof Norrozila, Sulaiman QA76 Computer software One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features. IEEE 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf Rozita, Mohd Yusof and Norrozila, Sulaiman (2012) Postprocessing algorithm for security features extraction. In: IEEE International Conference on E-Learning and E-Technologies in Education (ICEEE 2012) , 24-26 September 2012 , Lodz, Poland. pp. 219-222.. ISBN 978-1-4673-1678-1 (Published) https://doi.org/10.1109/ICeLeTE.2012.6333392 |
| spellingShingle | QA76 Computer software Rozita, Mohd Yusof Norrozila, Sulaiman Postprocessing algorithm for security features extraction |
| title | Postprocessing algorithm for security features extraction |
| title_full | Postprocessing algorithm for security features extraction |
| title_fullStr | Postprocessing algorithm for security features extraction |
| title_full_unstemmed | Postprocessing algorithm for security features extraction |
| title_short | Postprocessing algorithm for security features extraction |
| title_sort | postprocessing algorithm for security features extraction |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/26996/ http://umpir.ump.edu.my/id/eprint/26996/ http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf |