Recognition

Recognition requires an input image, a page segmentation for that image (both can be supplied as through a single XML files), and a text recognition model file. In particular there is no requirement to use the page segmentation algorithm contained in the segment subcommand or the binarization provided by kraken.

Multi-script recognition is possible by supplying a script-annotated segmentation and a mapping between scripts and models:

$ kraken -i ... ... ocr -m Grek:porson.mlmodel -m Latn:antiqua.mlmodel

All polytonic Greek text portions will be recognized using the porson.mlmodel model while Latin text will be fed into the antiqua.mlmodel model. It is possible to define a fallback model that other text will be fed to:

$ kraken -i ... ... ocr -m ... -m ... -m default:porson.mlmodel

It is also possible to disable recognition on a particular script by mapping to the special model keyword ignore. Ignored lines will still be serialized but will not contain any recognition results.