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 The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles.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feature extraction; humanities; natural languages; transforms; Hebrew calligraphic manuscript; binary image; historical document; object based erosion transform; object extraction; writing style; Application software; Computer science; Content based retrieval; Degradation; Image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