Fraud detection via automated handwriting clustering
US11961094B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2020 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Nov 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.