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TABLEIV. CONFUSIONMATRICESFORTHEHIGHESTANDTHELOWESTACCURACIESOFBI- SCRIPTANDTRI- SCRIPTIDENTIFICATIONUSINGSVM CLASSIFIER.(a) Bi-script R296818 U322982 R2829128 G1712872(b) Tri-script RDGm R29355919 D Gm RDKR29026849 D6529297 K3332944sizeofthewordandcharacter. But,duetotheunavailabilityofstandardbenchmarkdatasetforhandwritten Indianscripts,wearenotabletomakeafaircomparisonwiththestate-of-the-art. Thewholedatasetusedinthepaper,willbeprovidedforresearchpurpose. Additionally,wewilluseourtechniqueonpubliclyavailabledatasetsofotherscriptstomakeacomparativestudy. REFERENCES[1] J. Hochberg, P. Kelly, T. Thomas,and L. Kerns,“ Automaticscriptidentificationfromdocumentimagesusingcluster-basedtemplates,” IEEETransactionson Pattern Analysisand Machine Intelligence,vol.19,no.2,pp.176–181,1997.[2] T. N. Tan,“ Rotationinvarianttexturefeaturesandtheiruseinauto-maticscriptidentification,” IEEETransactionson Pattern Analysisand Machine Intelligence,vol.20,no.7,pp.751–756, July1998.[3] A. Busch, W. W. Boles, and S. Sridharan, “ Texturefor scriptidentifica-tion,” IEEETransactions on Pattern Analysis and Machine Intelligence,vol.27,no.11,pp.1720–1732,2005.[4] U. Pal, S. Sinha,and B. Chaudhuri,“ Multi-scriptlineidentificationfromindiandocuments,”in Proceedingsof International Conferenceon Document Analysisand Recognition, Aug2003,pp.880–884.[5] S. Ghosh and B. Chaudhuri, “ Compositescript identificationandorien-tationdetection forindiantextimages,”in Proceedingsof International Conferenceon Document Analysisand Recognition, Sept2011,pp.294–298.[6] P. B. Pati and A. Ramakrishnan, “ Word level multi-script.
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