KATIB
Abstract
PrepOCRessor is developed at the Qatar Computing Research Institute for preprocessing document images for optical character recognition. The tool follows the pipeline paradigm in Unix-like operating systems: A set of image processing operations is chained such that the output of each operation serves as input to the next one. The tool supports batch processing for high parallelism and scalability. PrepOCRessor is intended to be used in combination with the recognition toolkit Kaldi and supports file formats for feature sets (.ark,t) and forced-alignments (.al) for a seamless integration. Even though we focus on Arabic script, the tool has been successfully used for other writing systems, e.g. Latin in the ICDAR2015 Competition HTRtS on historic documents.
Related publications
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The following list contains a list of PrepOCRessor releases. The newest release is on the top of the list.
- PrepOCRessor 0.2.1. Released on 1 September 2015. [Manual] [JavaDoc] [Changelog]
- PrepOCRessor 0.2. Released on 24 June 2015. [Manual] [JavaDoc] [Changelog]
- PrepOCRessor 0.1. Released on 7 May 2015. [Manual] [JavaDoc]
The latest source code can be accessed via the PrepOCRessor bitbucket repository.