DocumentCode :
3022405
Title :
Extraction of specified objects from binary images using object based erosion transform: application to Hebrew calligraphic manuscripts
Author :
Bar-Yosef, Itay ; Beckman, Isaac ; Kedem, Klara ; Dinstein, Itshak
Author_Institution :
Dept. of Comput. Sci., Ben-Gurion Univ., Israel
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
878
Abstract :
This paper presents a method for automatic extraction of certain pre-specified objects from binary images. The method is applied to letters from historic Hebrew manuscripts and is based on object based erosion transform. The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles. An average correct extraction rate of 96% is achieved.
Keywords :
document image processing; feature extraction; humanities; natural languages; transforms; Hebrew calligraphic manuscript; binary image; historical document; object based erosion transform; object extraction; writing style; Application software; Computer science; Content based retrieval; Degradation; Image retrieval; Image segmentation; Morphology; Shape; Text recognition; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.108
Filename :
1575670
Link To Document :
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