Deep learning tattoo match system based
US11783587B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 1, 2021 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Feb 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.