Learning weights of fonts for typed samples in handwritten keyword spotting
US8509537B2 · kind B2 · utility
25Cited by
4References
28Claims
0Family size
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Key dates
| Filing date | Aug 5, 2010 |
| Grant date | Aug 13, 2013 |
| Priority date | — |
| Expiry date | Nov 17, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/245
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A wordspotting system and method are disclosed. The method includes receiving a keyword and, for each of a set of typographical fonts, synthesizing a word image based on the keyword. A keyword model is trained based on the synthesized word images and the respective weights for each of the set of typographical fonts. Using the trained keyword model, handwritten word images of a collection of handwritten word images which match the keyword are identified. The weights allow a large set of fonts to be considered, with the weights indicating the relative relevance of each font for modeling a set of handwritten word images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.