DETEXTIVE optical character recognition with pattern matching on-the-fly. Issue 3 (March 2015)

• Record Type: Journal Article
• Authors: Caluori, Ursina; Simon, Klaus
• Is Part Of: Pattern recognition. Volume 48:Issue 3(2015:Mar.)
• Page Start: 827
• Page End: 836
• Publication Date: 2015-03
• Subjects: OCR -- Pattern matching -- Historic prints -- Black letter fonts -- Mass-digitization -- Performance test; Pattern perception -- Periodicals; Perception des structures -- Périodiques; Patroonherkenning; 006.4
• DOI: 10.1016/j.patcog.2014.08.026
• Languages: English
• ISSNs: 0031-3203

Abstract

Abstract: In this paper we present a new OCR-concept designed for the requirements of historic prints in the context of mass-digitizations. The core part is the glyph recognition, based on pattern matching with patterns that are derived from computer font glyphs and are generated on-the-fly. The classification of a sample is organized as a search process for the most similar glyph pattern. This results in consistently good hit rates for arbitrary fonts without any training. In particular, we investigate the performance of our prototype in comparison to popular commercially available OCR-software. Abstract : Highlights: New OCR-concept designed for the requirements of historic prints. Pattern matching with on-the-fly generated patterns. Integration of a RIP into an OCR software. Outperforms established OCR softwares especially for out-of-the-ordinary fonts. Consistently good hit rates for arbitrary fonts.