Name
Title | ||
|---|---|---|
Robust Palmprint Identification Using Efficient Enhancement And Two-Stage Matching Technique |
Abstract | ||
|---|---|---|
Palmprint-based human authentication has shown great potential for civil, forensic, and corporate security applications in recent years. Palmprint recognition systems suffer because of large palmprint sizes and the presence of a large number of creases and erroneous minutiae that make the enhancement and matching phases a challenge. In this study, a novel approach is presented based on efficient enhancement and a two-stage matching technique that demonstrates highly accurate identification results. The enhancement approach extracts minutia features from high-quality regions based on local ridge characteristics. The selected minutiae are then matched using a two-stage local and global minutiae neighbour-based matching technique. To demonstrate the performance of the proposed technique, comparisons with open-source algorithms are made based on equal error rate and detection error trade-off graph. The results confirm the efficacy of proposed palmprint enhancement and identification technique. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1049/iet-ipr.2018.5736 | IET IMAGE PROCESSING |
Keywords | DocType | Volume |
image matching, feature extraction, palmprint recognition, fingerprint identification, image enhancement, graph theory, robust palmprint identification, efficient enhancement, two-stage matching technique, palmprint-based human authentication, civil security applications, forensic security applications, corporate security applications, palmprint recognition systems, palmprint sizes, matching phases, enhancement approach, minutia features, high-quality regions, local ridge characteristics, global minutiae neighbour, identification technique, palmprint enhancement, global minutiae neighbour-based matching technique, two-stage local minutiae neighbour-based matching technique, open-source algorithms, equal error rate, detection error trade-off graph | Journal | 14 |
Issue | ISSN | Citations |
11 | 1751-9659 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mubeen Ghafoor | 1 | 17 | 5.80 |
| Syed Ali Tariq | 2 | 0 | 1.69 |
| Imtiaz A. Taj | 3 | 30 | 7.29 |
| Noman Jafri | 4 | 0 | 0.34 |
| Tehseen Zia | 5 | 0 | 0.34 |