Certain improvement in preprocessing fingerprint image using artificial neural network
Biometrics is the science of measuring an individual’s physical properties. Biometric systems are being used as high level security technologies that provide identification and verification of human characteristics for security proposes. Biometric is characterized based on the feature that is analyz...
| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
Allied Publishers Pvt. Ltd
2005
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/31135/1/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network-ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31135/2/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network.pdf |
| _version_ | 1825714464763150336 |
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| author | Paulraj M. Pandiyan Mohd. Yunus Hamid Azali Saudi Chin Kim On |
| author_facet | Paulraj M. Pandiyan Mohd. Yunus Hamid Azali Saudi Chin Kim On |
| author_sort | Paulraj M. Pandiyan |
| collection | UMS |
| description | Biometrics is the science of measuring an individual’s physical properties. Biometric systems are being used as high level security technologies that provide identification and verification of human characteristics for security proposes. Biometric is characterized based on the feature that is analyzed. Presently, fingerprint biometric is the most widely adopted biometric technologies in the industry. A number of methods are already available in the literature to identify the fingerprints. The general steps in preprocessing the fingerprint image recognition system consists of image capturing, enhancement, binarization, filtering, and image thinning process. In order to obtain the minutiae features from the image, the image must be thinned properly. The recognition rate of fingerprints minutiae depend on the method of thinning the images. In this paper, a simple algorithm is proposed to thin the fingerprint image and the results are compared with the existing methods. Simple neural network models are also developed to thin the fingerprint images. |
| first_indexed | 2024-03-06T03:12:12Z |
| format | Proceedings |
| id | ums.eprints-31135 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:12:12Z |
| publishDate | 2005 |
| publisher | Allied Publishers Pvt. Ltd |
| record_format | dspace |
| spelling | ums.eprints-311352021-11-17T06:35:44Z https://eprints.ums.edu.my/id/eprint/31135/ Certain improvement in preprocessing fingerprint image using artificial neural network Paulraj M. Pandiyan Mohd. Yunus Hamid Azali Saudi Chin Kim On TA1501-1820 Applied optics. Photonics TK7800-8360 Electronics Biometrics is the science of measuring an individual’s physical properties. Biometric systems are being used as high level security technologies that provide identification and verification of human characteristics for security proposes. Biometric is characterized based on the feature that is analyzed. Presently, fingerprint biometric is the most widely adopted biometric technologies in the industry. A number of methods are already available in the literature to identify the fingerprints. The general steps in preprocessing the fingerprint image recognition system consists of image capturing, enhancement, binarization, filtering, and image thinning process. In order to obtain the minutiae features from the image, the image must be thinned properly. The recognition rate of fingerprints minutiae depend on the method of thinning the images. In this paper, a simple algorithm is proposed to thin the fingerprint image and the results are compared with the existing methods. Simple neural network models are also developed to thin the fingerprint images. Allied Publishers Pvt. Ltd 2005 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31135/1/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network-ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31135/2/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network.pdf Paulraj M. Pandiyan and Mohd. Yunus Hamid and Azali Saudi and Chin Kim On (2005) Certain improvement in preprocessing fingerprint image using artificial neural network. https://www.researchgate.net/publication/351267849_Certain_Improvement_In_Preprocessing_Fingerprint_Image_Using_Artificial_Neural_Network |
| spellingShingle | TA1501-1820 Applied optics. Photonics TK7800-8360 Electronics Paulraj M. Pandiyan Mohd. Yunus Hamid Azali Saudi Chin Kim On Certain improvement in preprocessing fingerprint image using artificial neural network |
| title | Certain improvement in preprocessing fingerprint image using artificial neural network |
| title_full | Certain improvement in preprocessing fingerprint image using artificial neural network |
| title_fullStr | Certain improvement in preprocessing fingerprint image using artificial neural network |
| title_full_unstemmed | Certain improvement in preprocessing fingerprint image using artificial neural network |
| title_short | Certain improvement in preprocessing fingerprint image using artificial neural network |
| title_sort | certain improvement in preprocessing fingerprint image using artificial neural network |
| topic | TA1501-1820 Applied optics. Photonics TK7800-8360 Electronics |
| url | https://eprints.ums.edu.my/id/eprint/31135/1/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network-ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31135/2/Certain%20improvement%20in%20preprocessing%20fingerprint%20image%20using%20artificial%20neural%20network.pdf |
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