Fingerprint image quality measure, feature extraction and matching
The focus of this research is on image quality determination, features extraction and matching on the fingerprint image. The objective is to develop new techniques or extend on some current published methods so as to improve the overall system reliability. It is desirable to design an automatic sche...
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sg-ntu-dr.10356-32362023-07-04T15:51:17Z Fingerprint image quality measure, feature extraction and matching Shen, Lin Lin. Kot, Alex Chichung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics The focus of this research is on image quality determination, features extraction and matching on the fingerprint image. The objective is to develop new techniques or extend on some current published methods so as to improve the overall system reliability. It is desirable to design an automatic scheme that examines and quantifies the quality of an acquired fingerprint image before it is processed. The useful quality information can be combined into the procedure of enhancement, post processing and matching to improve the identification process. A Gabor Feature based method is proposed to estimate the quality of the fingerprint images. By using Gabor Features, our method can offer more accurate estimation of the image quality than the current methods in the literature. Master of Engineering 2008-09-17T09:25:16Z 2008-09-17T09:25:16Z 2003 2003 Thesis http://hdl.handle.net/10356/3236 Nanyang Technological University application/pdf |
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Nanyang Technological University |
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NTU Library |
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Asia |
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Singapore Singapore |
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NTU Library |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Shen, Lin Lin. Fingerprint image quality measure, feature extraction and matching |
| description |
The focus of this research is on image quality determination, features extraction and matching on the fingerprint image. The objective is to develop new techniques or extend on some current published methods so as to improve the overall system reliability. It is desirable to design an automatic scheme that examines and quantifies the quality of an acquired fingerprint image before it is processed. The useful quality information can be combined into the procedure of enhancement, post processing and matching to improve the identification process. A Gabor Feature based method is proposed to estimate the quality of the fingerprint images. By using Gabor Features, our method can offer more accurate estimation of the image quality than the current methods in the literature. |
| author2 |
Kot, Alex Chichung |
| author_facet |
Kot, Alex Chichung Shen, Lin Lin. |
| format |
Theses and Dissertations |
| author |
Shen, Lin Lin. |
| author_sort |
Shen, Lin Lin. |
| title |
Fingerprint image quality measure, feature extraction and matching |
| title_short |
Fingerprint image quality measure, feature extraction and matching |
| title_full |
Fingerprint image quality measure, feature extraction and matching |
| title_fullStr |
Fingerprint image quality measure, feature extraction and matching |
| title_full_unstemmed |
Fingerprint image quality measure, feature extraction and matching |
| title_sort |
fingerprint image quality measure, feature extraction and matching |
| publishDate |
2008 |
| url |
http://hdl.handle.net/10356/3236 |
| _version_ |
1772827368048558080 |