A Novel Approach for Image Recognition to Enhance the Quality of Decision Making by Applying Degree of Correlation Using Artificial Neural Networks

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Raju Dara 1,* Ch. Satyanarayana 1 A Govardhan 1

1. Department of Computer Science and Engineering Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2014.11.04

Received: 11 Jun. 2014 / Revised: 24 Jul. 2014 / Accepted: 8 Sep. 2014 / Published: 8 Oct. 2014

Index Terms

Image recognition, information retrieval, artificial neural network, degree of correlation, fault-tolerance


Many diversified applications do exist in science & technology, which make use of the primary theory of a recognition phenomenon as one of its solutions. Recognition scenario is incorporated with a set of decisions and the action according to the decision purely relies on the quality of extracted information on utmost applications. Thus, the quality decision making absolutely reckons on processing momentum and precision which are entirely coupled with recognition methodology. In this article, a latest rule is formulated based on the degree of correlation to characterize the generalized recognition constraint and the application is explored with respect to image based information extraction. Machine learning based perception called feed forward architecture of Artificial Neural Network has been applied to attain the expected eminence of elucidation. The proposed method furnishes extraordinary advantages such as less memory requirements, extremely high level security for storing data, exceptional speed and gentle implementation approach.

Cite This Paper

Raju Dara, Ch.Satyanarayana, A. Govardhan,"A Novel Approach for Image Recognition to Enhance the Quality of Decision Making by Applying Degree of Correlation Using Artificial Neural Networks", IJIGSP, vol.6, no.11, pp.25-35, 2014. DOI: 10.5815/ijigsp.2014.11.04


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