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Hierarchical font recognition

Letter snippets - visual words in font recognition
: Lidke, J.T.

Volltext urn:nbn:de:0011-n-1509862 (8.0 MByte PDF)
MD5 Fingerprint: 00f9fa3cdf3b4ef0e450dfcc24d1f3ea
Erstellt am: 20.1.2011

Marburg, 2010, 81 S.
Marburg, Univ., Dipl.-Arb., 2010
Diplomarbeit, Elektronische Publikation
Fraunhofer IAIS ()

The main contribution of this diploma thesis is the introduction of a new OFR method and its evaluation on a huge database of 9809 fonts, which exceeds to the best of our knowledge the size of the largest font database, mentioned in related works by more than 3.5 times. Further, we explore importance of input length and content with respect to recognition rate.