High performance layout analysis of Arabic and Urdu document images

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 1275-1279

  Bukhari, Syed Saqib ^a   Shafait, Faisal ^b   Breuel, Thomas M ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

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

Author keywords

Document Layout Analysis; Reading Order Determination; Text Image Segmentation; Text Line Segmentation

Indexed keywords

ARABIC SCRIPTS; DOCUMENT IMAGE DEGRADATION; DOCUMENT IMAGES; DOCUMENT LAYOUT ANALYSIS; LAYOUT ANALYSIS; ORDER DETERMINATION; PERSIANS; PROJECTION METHOD; PROJECTION PROFILE; TEXT IMAGES; WELL-ESTABLISHED TECHNIQUES;

DIGITAL IMAGE STORAGE; DROPS; OPTICAL CHARACTER RECOGNITION;

IMAGE SEGMENTATION;

EID: 82355169374     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.257     Document Type: Conference Paper

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