Page Segmentation for Historical Handwritten Document Images Using Color and Texture Features

Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR

Volumn 2014-December, Issue , 2014, Pages 488-493

  Chen, Kai ^a   Wei, Hao ^a   Hennebert, Jean ^a,b   Ingold, Rolf ^a   Liwicki, Marcus ^a,c  

^a UNIVERSITY OF FRIBOURG   (Switzerland)

^b UNIVERSITY OF APPLIED SCIENCES AND ARTS NORTHWESTERN SWITZERLAND   (Switzerland)

^c GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

feature selection; historical document; layout analysis; page segmentation

Indexed keywords

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); COLOR; COLOR IMAGE PROCESSING; IMAGE SEGMENTATION; PIXELS;

COLOR AND TEXTURE FEATURES; FEATURE SELECTION ALGORITHM; FEATURE SELECTION METHODS; HIGH-QUALITY SEGMENTATION; HISTORICAL DOCUMENTS; HISTORICAL HANDWRITTEN DOCUMENT IMAGE; LAYOUT ANALYSIS; PAGE SEGMENTATION;

FEATURE EXTRACTION;

EID: 84942234264     PISSN: 21676445     EISSN: 21676453     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2014.88     Document Type: Conference Paper

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