An Automated Biometric System for Overlapped Fingerprint Detection and Recognition
| dc.contributor.author | Panigrahi, Srilipta | |
| dc.date.accessioned | 2026-09-22T09:22:28Z | |
| dc.date.available | 2026-09-22T09:22:28Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Recognition of overlapped fingerprint is a non-trivial problem due to complex mixing of ridge patterns from multiple fingers. Most of the existing approaches focus on separation, with less work on a fully automated, complete separation and matching pipeline. In our work, we have proposed a fully automated framework for overlap detection, separation, and identification of constituent fingerprints. A large dataset of overlapped fingerprints is generated synthetically to train SSD model for accurate overlap localization. For separation of constituent fingerprints, an ellipse based overlap removal stategy followed by an orientation-guided spectral clustering approach has been implemented. Further, fusion of similarity scores from SIFT and wavelet features is used for the recognition of separated fingerprints. | |
| dc.identifier.uri | http://nits.ndl.gov.in/handle/123456789/113 | |
| dc.language.iso | en | |
| dc.publisher | National Institute of Technology, Silchar | |
| dc.title | An Automated Biometric System for Overlapped Fingerprint Detection and Recognition |
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