Sequence transcription with deep neural networks
US9454714B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 31, 2014 |
| Grant date | Sep 27, 2016 |
| Priority date | — |
| Expiry date | Jan 3, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/63
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.