DocumentCode
1708045
Title
Syllable segmentation of Telugu document images
Author
Babu, Tummala Ranga ; Rao, Venkata N. ; Reddy, Pratap L. ; Prabhu, Krishna T S ; Babu, Raveendra B.
Author_Institution
Dept. of ECE, RVR & JC Coll. of Eng., Guntur, India
Volume
2
fYear
2010
Abstract
This paper describes Syllable Segmentation method for printed text documents in Telugu, a South Indian language. Syllable segmentation is a fundamental process for various applications namely word segmentation, speech synthesis and information retrieval. The segmentation algorithm is motivated by the structure of the script. The segmentation process is complicated due to inherent ambiguities of the natural language. This paper presents a non-dictionary approach for syllable segmentation in the context of Telugu language, using the syllable width and compared with the existing aspect ratio approach. The experimental results show the segmentation accuracy is more than 99%.
Keywords
document image processing; image segmentation; South Indian language; Telugu document images; printed text documents; syllable segmentation; Character recognition; Data mining; Image recognition; Image segmentation; Optical character recognition software; Shape; Signal processing; Aspect Ratio; Syllable Segmentation; Syllable Width;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-6892-8
Electronic_ISBN
978-1-4244-6893-5
Type
conf
DOI
10.1109/ICSPS.2010.5555217
Filename
5555217
Link To Document