Home   >   CSC-OpenAccess Library   >    Manuscript Information
Script Identification In Trilingual Indian Documents
R. R. Aparna, R. Radha
Pages - 178 - 185     |    Revised - 01-06-2014     |    Published - 01-07-2014
Volume - 8   Issue - 4    |    Publication Date - July 2014  Table of Contents
MORE INFORMATION
KEYWORDS
Script, Dilation, Boundary, Centroid, Zone, Blob, Bounding Box.
ABSTRACT
This paper presents a research work in identification of script from trilingual Indian documents. This paper proposes a classification algorithm based on structural and contour features. The proposed system identifies the script of languages like English, Tamil and Hindi. 300 word images of the above mentioned three scripts were tested and 98.6% accuracy was obtained. Performance comparison with various existing methods is discussed.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
B.V.Dhandra and M.Hangarge. “Morphological reconstruction for word level script identification,” International journal of computer science and security, vol.1, 2011.
D.Dhanya, A.G.Ramakrishnan and P.B.Pati, “Script identification in printed bilingual documents,” Sadhana, vol. 27, pp. 73-82, 2002.
D.Ghosh, T.Dube and A.P.Shivaprasad. “Script Recognition: A review,” IEEE Transactions on pattern analysis and machine Intelligence, vol. XX, 2009.
D.Yadav, S.Sanchez-cuadrado and J.Morato. “Optical acharacter recognition for Hindi language using a NN approach,” Journal of information processing systems, vol. 9, 2013.
M.C.Padma and P.A Vijaya. “Script identification from trilingual documents using profile based feature,” International journal of computer science and applications, vol.7, pp.16-33,2010.
M.Swamy Das, D.Sndhya Rani, C.R.K.Reddy and A.Govardhan. “Script identification from multilingual Telugu, Hindi and English Text documents,” International Journal of Wisdom based computing, vol.1, 2011.
O.Prakash, V.Shrivastava and A.Kumar. “An efficient approach for script identification,”International journal of computer Trends and Technology (IJCTT), vol. 4, 2013.
P.B.Pati, S.S.Raju, N.Pati and A.G.Ramakrishnan. “Gabor filters for Document analysis in Indian Bilingual Documents,” in Proc. IEEE ICISIP, 2004.
R.C.Gonzalez, R.E.Woods and S.L.Eddins. “Digital Image Processing using Matlab,”NewDelhi, Tata Mcgraw-Hill, 2011.
R.Rani, R.Dhir and G. Lehal. “Script Identification of pre-segmented multifont characters and digits,” in Proc. ICDAR, 2013, pp.1150-1154.
R.Rani, R.Dhir and G.Lehal. “Modified Gabor feature extraction method for word levelscript identification –Expermentation with Gurumukhi and English scripts,” International journal of signal processing, image processing and pattern recognition, vol. 6, pp. 25-38, 2013.
Rajesh Gopakumar, N.V.SubbaReddy, Krishnamoorthi Makkithaya and U.Dinesh Acharya.“Script Identification from multilingual Indian documents using structural features,” Journal of computing, vol. 2, 2010.
S.B. Patil and N.V.Subbareddy. “Neural network based system for script identification in Indian documents,” Sadhana, vol. 27, pp. 83-97, 2002.
S.Chanda and U.Pal. “English , Devnagari and Urudu text Identification,” in Proc.International conference on Document Analysis and Recognition, pp. 538-545, 2005.
S.Chanda, S.Pal, K.Franke, U.Pal. “Two-stage approach for word wise script Identification,”in Proc. ICDAR, 2009.
U.pal and B.B.Chaudhri. “Indian script Character recognition: A survey,” Pattern recognition,vol. 37, pp.1887-1889, 2004.
U.Pal and B.B.Chaudhri. “Script line separation from Indian Multi script documents,” in Proc.ICDAR, pp. 406-409,1999.
U.Pal and B.B.chaudhuri. “Identification of different script lines from multi-script documents,”Image and Vision Computing, vol. 20, pp. 945-954, 2002.
Mr. R. R. Aparna
Research Department of computer Science S.D.N.B.Vaishnav college AFF. Madras University Chennai, 600043 - India
skandhur@gmail.com
Mr. R. Radha
Research Department of computer Science S.D.N.B.Vaishnav college AFF. Madras University Chennai, 600043 - India