Development and evaluation of text localization techniques based on structural texture features and neural classifiers

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

Volumn , Issue , 2009, Pages 1270-1274

  Emmanouilidis, Christos ^a   Batsalas, Costas ^c   Papamarkos, Nikos ^b  

^a INSTITUTE FOR THE MANAGEMENT OF INFORMATION SYSTEMS   (Greece)

^b DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT IMAGES; DOCUMENT STRUCTURE; FEATURE SELECTION; HYBRID TECHNIQUES; MULTI OBJECTIVE; NEURAL CLASSIFIERS; PRE-PROCESSING; PRINTED DOCUMENTS; SENSITIVITY AND SPECIFICITY; SPATIAL FEATURES; TEXT LOCALIZATION; TEXTURE FEATURES;

CLASSIFIERS; DIGITAL IMAGE STORAGE; LEARNING SYSTEMS;

FEATURE EXTRACTION;

EID: 71249108923     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.254     Document Type: Conference Paper

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