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 :
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