Name
Title | ||
|---|---|---|
An Automated System for Offline Signature Verification and Identification Using Delaunay Triangulation. |
Abstract | ||
|---|---|---|
Offline signature is being used in a range of applications. When a fraud person replicates our signature and takes our identity then problem arises. Signature verification has been identified as a main competitor in the search for a secure personal verification system. Offline signature system is based on the scanned image of the signature. The proposed methodology consists of signature database, preprocessing, feature extraction and recognition. The proposed signature system functions based on Delaunay triangulation of a given signature sample. The false acceptance rate (FAR) and false rejection rate (FRR) rate in the proposed method is relatively reduced. The signature for genuine person is accepted while the forged signature is rejected. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-16486-1_64 | NEW CONTRIBUTIONS IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, PT 1 |
Keywords | Field | DocType |
Signature verification,offline signature,Delaunay triangulation,false acceptance rate,false rejection rate | False rejection rate,Pattern recognition,Computer science,Feature extraction,Acceptance rate,Preprocessor,Artificial intelligence,Verification system,Delaunay triangulation | Conference |
Volume | ISSN | Citations |
353 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zahoor Jan | 1 | 104 | 6.78 |
| Hayat Muhammad | 2 | 0 | 0.34 |
| Muhammad Rafiq | 3 | 21 | 9.49 |
| Noor Zada | 4 | 0 | 0.68 |