Publication
Font group identification using reconstructed fonts
Michael P. Cutter; Joost van Beusekom; Faisal Shafait; Thomas Breuel
In: SPIE Document Recognition and Retrieval XVIII. SPIE Conference on Document Recognition and Retrieval (DRR-11), January 23-27, San Francisco, CA, USA, SPIE, 1/2011.
Abstract
An accessible digital document should be searchable, compressed, highly readable and faithful to the original.
These requirements can be achieved by digitally recreating the document with embedded fonts; however, it is
not always known what fonts were used to author the original document. It is desirable to be able to reconstruct
fonts with vector glyphs that approximate the shapes of characters that form a font. In this work we address the
assignment of every character within the document to a font cluster, which is necessary to represent a scanned
document image with a reconstructed font. This paper extends previous work in font reconstruction by proposing
and evaluating an algorithm to assign a font to every character within a document. Through our evaluation
method, the algorithm's font cluster assignment accuracy is measured to be 96% on multi-font documents.