Structural handwritten and machine print classification for sparse content and arbitrary oriented document fragments

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2010, Pages 18-22

  Chanda, Sukalpa ^a   Franke, Katrin ^a   Pal, Umapada ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

document analysis; document segmentation; multi oriented document; printed and handwritten text separation

Indexed keywords

ANGLE ESTIMATION; ARBITRARY ORIENTATION; CHAIN CODES; DOCUMENT ANALYSIS; DOCUMENT SEGMENTATION; FEATURE EXTRACTION AND CLASSIFICATION; HANDWRITTEN TEXTS; MULTI-ORIENTED DOCUMENT; PRE-PROCESSING STEP; PRINCIPLE COMPONENT ANALYSIS; PRINTED TEXTS; REGION GROWING; SPARSE DATA; TEXT CONTENT;

FEATURE EXTRACTION;

INFORMATION RETRIEVAL SYSTEMS;

EID: 77954692020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774093     Document Type: Conference Paper

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