DocumentCode
2531051
Title
Canonical syllable segmentation of Telugu document images
Author
Reddy, Pratap L. ; Sastry, A.S.C. ; Rao, Srinivasa A V ; Rao, Venkat N.
Author_Institution
Dept. of ECE, JNTU Coll. of Eng., Hyderabad
fYear
2008
fDate
19-21 Nov. 2008
Firstpage
1
Lastpage
5
Abstract
We propose a classical approach in the segmentation of canonical syllables of Telugu document images. Connected component approach is a simple strategy adopted until recent period. In this paper we propose a canonical syllable model which is equivalent to canonical structure C(C(CV))). The model consists of zone separation and component extraction phases as independent parts. The relation between zones and components is established in the segmentation process of canonical syllable. The segmentation efficiency of the proposed model is evaluated with respect to the canonical groups.
Keywords
feature extraction; image segmentation; Telugu document images; canonical syllable segmentation; component extraction phases; zone separation; Character recognition; Educational institutions; Feature extraction; Histograms; Image analysis; Image segmentation; Optical character recognition software; Prediction algorithms; Testing; Text recognition; Canonical syllable and Segmentation efficiency; Connected components; Core component; Segmentation; Zones; other components;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location
Hyderabad
Print_ISBN
978-1-4244-2408-5
Electronic_ISBN
978-1-4244-2409-2
Type
conf
DOI
10.1109/TENCON.2008.4766756
Filename
4766756
Link To Document