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Appraisal of Recognition Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 68 - Number 3 |
| Year of Publication: 2013 |
| Authors: Sina Layazali, Yaser Ahangari N |
10.5120/11563-6849
|
Sina Layazali, Yaser Ahangari N . Appraisal of Recognition Methods. International Journal of Computer Applications. 68, 3 ( April 2013), 43-46. DOI=10.5120/11563-6849
Abstract
Today many systems are invented which have special ability that sense of recognition plays a vital role in them and reshaped our life dramatically. These kinds of systems can make a proper decision about data clustering. Image processing or recognition of patterns like signs and … are the systems that are the example of them. Till now many methods have been presented which used to design a recognition system that some of them haven't been improved completely. Nevertheless, most of them should follow some steps such as: how to identify and represent the classes, the manner of choosing and extracting and how to cluster and train samples. Although, some issues like orientation or location couldn't be solved by these systems but scholars have trying to find the best solution for them. In this article, primary goal is comparing the methods used in pattern recognition that neural network is one of the most important techniques among them.
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