@article{(Open Science Index):https://publications.waset.org/pdf/8886,
	  title     = {Recognition of Isolated Handwritten Latin Characters using One Continuous Route of Freeman Chain Code Representation and Feedforward Neural Network Classifier},
	  author    = {Dewi Nasien and  Siti S. Yuhaniz and  Habibollah Haron},
	  country	= {},
	  institution	= {},
	  abstract     = {In a handwriting recognition problem, characters can
be represented using chain codes. The main problem in representing
characters using chain code is optimizing the length of the chain
code. This paper proposes to use randomized algorithm to minimize
the length of Freeman Chain Codes (FCC) generated from isolated
handwritten characters. Feedforward neural network is used in the
classification stage to recognize the image characters. Our test results
show that by applying the proposed model, we reached a relatively
high accuracy for the problem of isolated handwritten when tested on
NIST database.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {1145 - 1151},
	  ee        = {https://publications.waset.org/pdf/8886},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},