研究生: |
inn ann ni Enny - Indasyah |
---|---|
論文名稱: |
Combining Local and Global Feature Matching for Fingerprint Recognition Combining Local and Global Feature Matching for Fingerprint Recognition |
指導教授: |
洪西進
Shi-Jinn Horng |
口試委員: |
古鴻炎
Hung-Yan Gu 鍾國亮 Kuo-Liang Chung |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2015 |
畢業學年度: | 103 |
語文別: | 英文 |
論文頁數: | 60 |
外文關鍵詞: | minutiae features, core point |
相關次數: | 點閱:291 下載:5 |
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Fingerprint recognition is one of the biometric techniques that are used for identification purpose. Human fingerprints are rich in details called minutiae, whic can be used as identification marks for fingerprint identification. The goal of this project is to develop a complete system for fingerprint recognition througn extracting and matching minutiae. To achieve good minutiae extraction in fingerprints with varying quality, preprocessing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. This research presents a combination of global( core point detection) and local minutiae ( termination and bifurcation) method. The algorithm uses the distance between the minutiae and core points to determine the pattern matching scores for fingerprint images. Experiments were conducted using fingerprint database comprising seven database with different sources and qualities. False Acceptance Rate (FAR) False Rejected Rate (FRR), Genuine Acceptance Rate (GAR) and Genuine Rejected Rate (GRR) were the statistics generated for testing and measuring the performance of the proposed algorithm. The experiment result from DB1_B FVC2002 perform better results than other database.The accuracy of DB1_B is 99,6%.
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