@article{(Open Science Index):https://publications.waset.org/pdf/14969,
	  title     = {Identification of Printed Punjabi Words and English Numerals Using Gabor Features},
	  author    = {Rajneesh Rani and  Renu Dhir and  G. S. Lehal},
	  country	= {},
	  institution	= {},
	  abstract     = {Script identification is one of the challenging steps in the development of optical character recognition system for bilingual or multilingual documents. In this paper an attempt is made for identification of English numerals at word level from Punjabi documents by using Gabor features. The support vector machine (SVM) classifier with five fold cross validation is used to classify the word images. The results obtained are quite encouraging. Average accuracy with RBF kernel, Polynomial and Linear Kernel functions comes out to be greater than 99%.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {1},
	  year      = {2011},
	  pages     = {13 - 16},
	  ee        = {https://publications.waset.org/pdf/14969},
	  url   	= {https://publications.waset.org/vol/49},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 49, 2011},