An effective feature extraction method for fingerprint image
Biometrics is a technology, which identifies a person based on his physiology or behavioral characteristics. Fingerprint recognition is one of the biometrics methods available that has been widely used in many applications. This paper introduce an efficient method for the recognition of fingerprint...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Online Access: | http://psasir.upm.edu.my/id/eprint/38986/ http://psasir.upm.edu.my/id/eprint/38986/1/38986.pdf |
| _version_ | 1848849022967611392 |
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| author | AbdelQader, Hasan Babiker, Elsadig Ramli, Abdul Rahman Al-haddad, Syed |
| author_facet | AbdelQader, Hasan Babiker, Elsadig Ramli, Abdul Rahman Al-haddad, Syed |
| author_sort | AbdelQader, Hasan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Biometrics is a technology, which identifies a person based on his physiology or behavioral characteristics. Fingerprint recognition is one of the biometrics methods available that has been widely used in many applications. This paper introduce an efficient method for the recognition of fingerprint images based on features extraction (Minutiae such as ridge bifurcation and ridge ending) from the Zernike Moments, the minutiae are extracted directly from binary image, after the image has been processed, it would then be fed into the back propagation neural network as input in order to train the network, after training, the neural network is ready to perform the recognition operation for minutiae features. |
| first_indexed | 2025-11-15T09:43:48Z |
| format | Conference or Workshop Item |
| id | upm-38986 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:43:48Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-389862015-07-13T07:38:20Z http://psasir.upm.edu.my/id/eprint/38986/ An effective feature extraction method for fingerprint image AbdelQader, Hasan Babiker, Elsadig Ramli, Abdul Rahman Al-haddad, Syed Biometrics is a technology, which identifies a person based on his physiology or behavioral characteristics. Fingerprint recognition is one of the biometrics methods available that has been widely used in many applications. This paper introduce an efficient method for the recognition of fingerprint images based on features extraction (Minutiae such as ridge bifurcation and ridge ending) from the Zernike Moments, the minutiae are extracted directly from binary image, after the image has been processed, it would then be fed into the back propagation neural network as input in order to train the network, after training, the neural network is ready to perform the recognition operation for minutiae features. 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38986/1/38986.pdf AbdelQader, Hasan and Babiker, Elsadig and Ramli, Abdul Rahman and Al-haddad, Syed (2005) An effective feature extraction method for fingerprint image. In: International Advanced Technology Congress: Conference on Intelligent Systems and Robotics, 6-8 Dec. 2005, Putrajaya, Malaysia. . |
| spellingShingle | AbdelQader, Hasan Babiker, Elsadig Ramli, Abdul Rahman Al-haddad, Syed An effective feature extraction method for fingerprint image |
| title | An effective feature extraction method for fingerprint image |
| title_full | An effective feature extraction method for fingerprint image |
| title_fullStr | An effective feature extraction method for fingerprint image |
| title_full_unstemmed | An effective feature extraction method for fingerprint image |
| title_short | An effective feature extraction method for fingerprint image |
| title_sort | effective feature extraction method for fingerprint image |
| url | http://psasir.upm.edu.my/id/eprint/38986/ http://psasir.upm.edu.my/id/eprint/38986/1/38986.pdf |