Title
Frequencies Decomposition and Partial Similarities Retrieval for Ancient Handwriting Documents Compression
Abstract
This paper presents a new segmentation free approach of partial similarities retrieval in ancient handwritten documents. The method has been developed to improve usual handwritings compression approaches that are not adapted to patrimonial images specificities. We present here the similarities characterization that lies on oriented handwriting shapes decomposition. The frequencies page decomposition realizes a pavement of handwritten regions stored in directional maps where partial similarities are estimated. This decomposition is obtained by a frequencies analysis implying Gabor bank filters with an adequate parameter setting based on the most significant directions of the text. For each map, we compute a similarity graph that reveals redundant shapes and determines a resulting redundancy rate. The resulting graph is the first part of the compression system currently under development.
Year
DOI
Venue
2005
10.1109/ICDAR.2005.115
ICDAR-1
Keywords
Field
DocType
frequencies page decomposition,ancient handwriting documents,frequencies analysis,partial similarity,frequencies decomposition,partial similarities retrieval,similarities characterization,ancient handwritten document,resulting graph,handwritten region,compression system,compression approach,data compression,frequency analysis,image retrieval
Computer vision,Compression (physics),Graph,Pattern recognition,Handwriting,Segmentation,Computer science,Image retrieval,Redundancy (engineering),Artificial intelligence,Data compression,Visual Word
Conference
ISSN
ISBN
Citations 
1520-5363
0-7695-2420-6
1
PageRank 
References 
Authors
0.37
3
4
Name
Order
Citations
PageRank
Abir El Abed192.95
Veronique Eglin2122.85
Frank Lebourgeois325623.94
Hubert Emptoz438338.09