A New Minutiae Method Based on Partial Fingerprints
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 94 === As information technologies advanced greatly in recent years, the security problem of information networks becomes all the more important. As a result, biometric identification techniques have been given considerable attention. Fingerprint-related techniques...
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ndltd-TW-094NSYS54900732016-05-27T04:18:11Z http://ndltd.ncl.edu.tw/handle/28644032606313828276 A New Minutiae Method Based on Partial Fingerprints 基於片段指紋的新細節比對方法 Chin-Hung Lin 林晉弘 碩士 國立中山大學 機械與機電工程學系研究所 94 As information technologies advanced greatly in recent years, the security problem of information networks becomes all the more important. As a result, biometric identification techniques have been given considerable attention. Fingerprint-related techniques, due to these desirable properties, i.e., universality, perpetuity, collectability and particularity, are most widely applied and documented. However, in practice, collected fingerprint images are not always of good quality. They often are noisy or are even partial images. Therefore, in this research, we propose a new minutiae matching method, while using a coefficient of variation of orientation difference, a coefficient of frequency correlation, along with other image features to obtain a match based on only partial fingerprints. By the proposed method, when a score is arrived at and the test image and the database image have five minutia points matched, we have both FRR and FAR values close to 29%, and the correctness of matching reaches 70.56%. Innchyn Her 何應勤 2006 學位論文 ; thesis 127 zh-TW |
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碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 94 === As information technologies advanced greatly in recent years, the security problem of information networks becomes all the more important. As a result, biometric identification techniques have been given considerable attention. Fingerprint-related techniques, due to these desirable properties, i.e., universality, perpetuity, collectability and particularity, are most widely applied and documented.
However, in practice, collected fingerprint images are not always of good quality. They often are noisy or are even partial images. Therefore, in this research, we propose a new minutiae matching method, while using a coefficient of variation of orientation difference, a coefficient of frequency correlation, along with other image features to obtain a match based on only partial fingerprints.
By the proposed method, when a score is arrived at and the test image and the database image have five minutia points matched, we have both FRR and FAR values close to 29%, and the correctness of matching reaches 70.56%.
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author2 |
Innchyn Her |
author_facet |
Innchyn Her Chin-Hung Lin 林晉弘 |
author |
Chin-Hung Lin 林晉弘 |
spellingShingle |
Chin-Hung Lin 林晉弘 A New Minutiae Method Based on Partial Fingerprints |
author_sort |
Chin-Hung Lin |
title |
A New Minutiae Method Based on Partial Fingerprints |
title_short |
A New Minutiae Method Based on Partial Fingerprints |
title_full |
A New Minutiae Method Based on Partial Fingerprints |
title_fullStr |
A New Minutiae Method Based on Partial Fingerprints |
title_full_unstemmed |
A New Minutiae Method Based on Partial Fingerprints |
title_sort |
new minutiae method based on partial fingerprints |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/28644032606313828276 |
work_keys_str_mv |
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