ImagineOCR represents a fundamental restructuring of image-to-text software. Abandoning previous principles emphasising static models of orthography, imagine OCR approaches OCR as the province of object detection. Accordingly, it views each character on a page as a discrete object and allows training of a custom faster-rcnn implementation given as little as a single instance of the objects (read: characters) to be detected.
Using This Project
For instructions on how to get started using this project, please visit our official wiki.
For our planned features and reported bugs, please visit our official roadmap.
See also the list of contributors who participated in this project.
Released under the GLP-3.0 license.
- Sincerest thanks to Kieren Nicôlas and Stephen Lovell for their continued support and unwavering belief in the project.