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ICDAR
2009
IEEE
13 years 11 months ago
A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents
In this paper, we present a methodology for off-line character recognition that mainly focuses on handling the difficult cases of historical fonts and styles. The proposed methodo...
Georgios Vamvakas, Basilios Gatos, Stavros J. Pera...
ICDAR
2009
IEEE
13 years 2 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
CVPR
2007
IEEE
14 years 6 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
DRR
2009
13 years 2 months ago
Retrieval of historical documents by word spotting
The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the...
Nikoleta Doulgeri, Ergina Kavallieratou
CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
13 years 9 months ago
A Novel Approach for Word Spotting Using Merge-Split Edit Distance
Edit distance matching has been used in literature for word spotting with characters taken as primitives. The recognition rate however, is limited by the segmentation inconsistenci...
Khurram Khurshid, Claudie Faure, Nicole Vincent