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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin Qi Zhongchao Shi Xuying Zhao Yangsheng Wang |
| Copyright Year | 2005 |
| Description | Author affiliation: Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing (Jin Qi; Zhongchao Shi; Xuying Zhao; Yangsheng Wang) |
| Abstract | This paper is concerned with an accurate and efficient fingerprint matching method. We have two main contributions: 1. we define a novel feature vector for each fingerprint minutia based on the global orientation field estimated from the fingerprint impression. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between these feature vectors. 2. a novel distortion-tolerant matching algorithm based on the closest triangle is developed. Furthermore, the fingerprint directional field is also used to compute the final matching score combining with minutiae elaborately. A series of experiments conducted on the public data collection, FVC2002 DB3 set A (800 fingerprints), demonstrates the effectiveness of our method. |
| Starting Page | 105 |
| Ending Page | 110 |
| File Size | 199109 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769522718 |
| DOI | 10.1109/ACVMOT.2005.11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-01-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Fingerprint recognition Nonlinear distortion Fingers Laboratories Pattern recognition Automation Euclidean distance Detection algorithms Image matching |
| Content Type | Text |
| Resource Type | Article |
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