Name
Abstract | ||
|---|---|---|
Automated personal authentication has become increasingly important in modern information driven society and in this regard fingerprint-based personal identification is considered to be the most effective tool. In order to ensure reliable fingerprint identification and improve fingerprint ridge structure, a novel fingerprint enhancement approach is presented based on local adaptive contextual filtering. The proposed enhancement technique is 2-fold as it involves processing both in frequency and spatial domain. The fingerprint image is first filtered in frequency domain and then local directional filtering in spatial domain is applied to obtain enhanced fingerprint. In order to determine the performance efficiency of the proposed enhancement technique, a comparative analysis of error rates on standard fingerprint databases has been presented with major contextual enhancement schemes. The results show the efficacy of the proposed scheme as compared with other contextual filtering techniques. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1049/iet-ipr.2013.0528 | Image Processing, IET |
Keywords | Field | DocType |
adaptive filters,filtering theory,fingerprint identification,frequency-domain analysis,image enhancement,2-fold contextual filtering approach,automated personal authentication,contextual enhancement schemes,fingerprint databases,fingerprint enhancement approach,fingerprint image,fingerprint ridge structure,fingerprint-based personal identification,frequency domain analysis,information driven society,local adaptive contextual filtering,local directional filtering,spatial domain analysis | Frequency domain,Directional filtering,Computer vision,Authentication,Pattern recognition,Performance efficiency,Filter (signal processing),Fingerprint image,Fingerprint,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 7 | 1751-9659 |
Citations | PageRank | References |
8 | 0.45 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mubeen Ghafoor | 1 | 17 | 5.80 |
| Imtiaz A. Taj | 2 | 30 | 7.29 |
| Ahmad, W. | 3 | 8 | 0.45 |
| Jafri, N.M. | 4 | 8 | 0.45 |