Automatic Generation of Training Character Samples for OCR Systems

Efficient OCR Training Data Generation with Aletheia*

We present how the ground-truthing tool Aletheia can be used to efficiently create training data for an open-source text recognition engine. The labelling process is sped up considerably through a top-down approach. Text content is thereby entered on region level. The characters are then propagated automatically to glyph objects. In addition, segmentation is simplified by several semi-automated...

Automatic muscle generation for character skin deformation

As skin shape depends on the underlying anatomical structure, the anatomy-based techniques usually afford greater realism than the traditional skeleton-driven approach. On the downside, however, it is against the current animation workflow, as the animator has to model many individual muscles before the final skin layer arrives, resulting in an unintuitive modelling process. In this paper, we p...

OCR Optical Character Recognition

OCR - Optical Character Recognition

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. The modern version of OCR appeared in the middle of the 1940's with the development of the digital computers. OCR machines have been commercially avail...

Ocr-optical Character Recognition

Optical Character Recognition or OCR is the electronic translation of handwritten, typewritten or printed text into machine translated images. It is widely used to recognize and search text from electronic documents or to publish the text on a website. OCR is the machine replication of human reading and has been the subject of intensive research for more than three decades. OCR can be described...