@article{(Open Science Index):https://publications.waset.org/pdf/10168,
	  title     = {Information Security in E-Learning through Identification of Humans},
	  author    = {Hassan Haleh and  Zohreh Nasiri and  Parisa Farahpour},
	  country	= {},
	  institution	= {},
	  abstract     = {During recent years, the traditional learning
approaches have undergone fundamental changes due to the
emergence of new technologies such as multimedia, hypermedia and
telecommunication. E-learning is a modern world phenomenon that
has come into existence in the information age and in a knowledgebased
society. E-learning has developed significantly within a short
period of time. Thus it is of a great significant to secure information,
allow a confident access and prevent unauthorized accesses. Making
use of individuals- physiologic or behavioral (biometric) properties is
a confident method to make the information secure. Among the
biometrics, fingerprint is more acceptable and most countries use it as
an efficient methods of identification. This article provides a new
method to compare the fingerprint comparison by pattern recognition
and image processing techniques. To verify fingerprint, the shortest
distance method is used together with perceptronic multilayer neural
network functioning based on minutiae. This method is highly
accurate in the extraction of minutiae and it accelerates comparisons
due to elimination of false minutiae and is more reliable compared
with methods that merely use directional images.},
	    journal   = {International Journal of Information and Communication Engineering},
	  volume    = {5},
	  number    = {11},
	  year      = {2011},
	  pages     = {1317 - 1321},
	  ee        = {https://publications.waset.org/pdf/10168},
	  url   	= {https://publications.waset.org/vol/59},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 59, 2011},
	}