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Volume & Issue no: Volume 5, Issue 6, November - December 2016

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Title:
NEURAL NETWORKS BASED IMAGE RETRIEVAL SYSTEM USING ROSENBLATT’S PERCEPTRON ALGORITHM
Author Name:
R.Anbazhagan, Dr.P.Ponmuthuramalingam
Abstract:
ABSTRACT Now a day’s many applications based on an Image based classification systems has become a challenging task. Many systems based on the image based recognition but that takes an original Image as the input query and compare with the retrieval Image through the machine and retrieves based on more complicated task. The aim and Objective of this Paper is to classifying the Image using Rosenblatt’s Perceptron Algorithm, a Neural Network concepts for more efficient and effective results. Pattern recognition techniques are associated a symbolic identity with the recognition of the pattern. In this work will be analysis different neural network methods in pattern recognition. This problem of replication of patterns by machines (computers) involves the original patterns. The pattern recognition is better known as optical pattern recognition. Since, it deals with recognition of optically processed patterns rather than magnetically processed ones. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. There is no idle memory containing to data are programmed, but each neuron is programmed and continuously active. The Image recognition is one of the earliest applications of Artificial Neural Networks. One of the applications of neural networks is in the field of pattern recognition. It can store and recognize correctly. In this paper, recognize the several Images, with the condition that the images should be slightly in differently retrieved.
Cite this article:
R.Anbazhagan, Dr.P.Ponmuthuramalingam , " NEURAL NETWORKS BASED IMAGE RETRIEVAL SYSTEM USING ROSENBLATT’S PERCEPTRON ALGORITHM" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 6, November - December 2016 , pp. 107-114 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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