Name
Abstract | ||
|---|---|---|
Signature verification is a common task in forensic document analysis. It is one of determining whether a questioned signature matches known signature samples. From the viewpoint of automating the task it can be viewed as one that involves machine learning from a population of signatures. There are two types of learning to be accomplished. In the first, the training set consists of genuines and forgeries from a general population. In the second there are genuine signatures in a given case. The two learning tasks are called person-independent (or general) learning and person-dependent (or special) learning. General learning is from a population of genuine and forged signatures of several individuals, where the differences between genuines and forgeries across all individuals are learnt. The general learning model allows a questioned signature to be compared to a single genuine signature. In special learning, a person's signature is learnt from multiple samples of only that person's signature– where within-person similarities are learnt. When a sufficient number of samples are available, special learning performs better than general learning (5% higher accuracy). With special learning, verification accuracy increases with the number of samples. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11949619_68 | ICVGIP |
Keywords | Field | DocType |
signature sample,signature verification,general learning,single genuine signature,common task,special learning,genuine signature,general learning model,general population,learning task,machine learning,biometrics | Population,Computer vision,Similitude,Multi-task learning,Stability (learning theory),Instance-based learning,Task analysis,Computer science,Image processing,Artificial intelligence,Biometrics,Machine learning | Conference |
Volume | ISSN | ISBN |
4338 | 0302-9743 | 3-540-68301-1 |
Citations | PageRank | References |
2 | 0.36 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harish Srinivasan | 1 | 78 | 6.92 |
| Sargur N. Srihari | 2 | 2949 | 685.29 |
| Matthew J. Beal | 3 | 600 | 64.31 |