Fingerprint matching algorithm for poor quality images
| Autor: | Vedpal Singh, Irraivan Elamvazuthi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
fingerprint identification
image matching dynamic programming fingerprint matching algorithm poor quality images low-quality images authentication method normalised cross-correlation computational complexities two-dimensional dynamic programming error rate 2D DP Lee method genuine accept rate false accept rate Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2015) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2014.0247 |
| Popis: | The main aim of this study is to establish an efficient platform for fingerprint matching for low-quality images. Generally, fingerprint matching approaches use the minutiae points for authentication. However, it is not such a reliable authentication method for low-quality images. To overcome this problem, the current study proposes a fingerprint matching methodology based on normalised cross-correlation, which would improve the performance and reduce the miscalculations during authentication. It would decrease the computational complexities. The error rate of the proposed method is 5.4%, which is less than the two-dimensional (2D) dynamic programming (DP) error rate of 5.6%, while Lee's method produces 5.9% and the combined method has 6.1% error rate. Genuine accept rate at 1% false accept rate is 89.3% but at 0.1% value it is 96.7%, which is higher. The outcome of this study suggests that the proposed methodology has a low error rate with minimum computational effort as compared with existing methods such as Lee's method and 2D DP and the combined method. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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