System and method for transcribing handwritten records using word grouping with assigned centroids
US9792520B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2017 |
| Grant date | Oct 17, 2017 |
| Priority date | — |
| Expiry date | Mar 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.