1 April 2001 Font clustering and cluster identification in document images
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In this work clustering and recognition problem of fonts in document images is addressed. Various font features and their clustering behavior are investigated. Font clustering is implemented both from shape similarity or from OCR performance points of view. A font recognition algorithm is developed that can identify the font group or the individual font from which a text was created.
©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Serdar Ozturk, Bulent Sankur, and Ali Toygar Abak "Font clustering and cluster identification in document images," Journal of Electronic Imaging 10(2), (1 April 2001). https://doi.org/10.1117/1.1351820
Published: 1 April 2001
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CITATIONS
Cited by 9 scholarly publications and 2 patents.
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KEYWORDS
Optical character recognition

Raster graphics

Detection and tracking algorithms

Algorithm development

Feature extraction

Binary data

Image segmentation

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