Embedded fingerprint verification system
The objective of this thesis is to develop an embedded fingerprint verification system using an e-field fingerprint sensor and DSP processor. The e-field fingerprint sensor is an advanced TRUE fingerprint image sensor from AuthenTec. INC. The aim of this development is to speed up the fingerprint ve...
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sg-ntu-dr.10356-40882023-07-04T15:52:53Z Embedded fingerprint verification system Zhu, Xu. Wen, Changyun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics The objective of this thesis is to develop an embedded fingerprint verification system using an e-field fingerprint sensor and DSP processor. The e-field fingerprint sensor is an advanced TRUE fingerprint image sensor from AuthenTec. INC. The aim of this development is to speed up the fingerprint verification algorithms and adapt those algorithms to DSP platform. This thesis investigates and simulates the performances of fingerprint verification algorithms including pre-processing, enhancement, minutia extraction, and minutia matching, and improves the performance of point matching algorithms and image pre-processing based on the e-field fingerprint sensor's properties. An embedded fingerprint verification system has been proposed with hardware and software design considerations. The design and implementation of these techniques are documented. Some recommendations based on the experience gained from the project are discussed. Master of Science (Computer Control and Automation) 2008-09-17T09:44:11Z 2008-09-17T09:44:11Z 2003 2003 Thesis http://hdl.handle.net/10356/4088 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Zhu, Xu. Embedded fingerprint verification system |
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The objective of this thesis is to develop an embedded fingerprint verification system using an e-field fingerprint sensor and DSP processor. The e-field fingerprint sensor is an advanced TRUE fingerprint image sensor from AuthenTec. INC. The aim of this development is to speed up the fingerprint verification algorithms and adapt those algorithms to DSP platform. This thesis investigates and simulates the performances of fingerprint verification algorithms including pre-processing, enhancement, minutia extraction, and minutia matching, and improves the performance of point matching algorithms and image pre-processing based on the e-field fingerprint sensor's properties. An embedded fingerprint verification system has been proposed with hardware and software design considerations. The design and implementation of these techniques are documented. Some recommendations based on the experience gained from the project are discussed. |
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Wen, Changyun |
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Wen, Changyun Zhu, Xu. |
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Theses and Dissertations |
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Zhu, Xu. |
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Zhu, Xu. |
title |
Embedded fingerprint verification system |
title_short |
Embedded fingerprint verification system |
title_full |
Embedded fingerprint verification system |
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Embedded fingerprint verification system |
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Embedded fingerprint verification system |
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embedded fingerprint verification system |
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2008 |
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http://hdl.handle.net/10356/4088 |
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1772827602135810048 |