Normalized Vector Codes for Object Recognition Using Artificial Neural Networks in the Framework of Picture Description Languages

Normalized Vector Codes for Object Recognition Using Artificial Neural Networks in the Framework of Picture Description Languages

Article ID

W1T72

Normalized Vector Codes for Object Recognition Using Artificial Neural Networks in the Framework of Picture Description Languages

G.D. Jasmin Mysore University

E.G. Rajan

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Abstract

Your Understanding how biological visual systems recognize objects is one of the ultimate goals in computational neuroscience. People are able to recognize different types of objects despite the fact that the objects may vary in view, points, sizes, scale, texture or even when they are translated or rotated. In this paper we focus on syntactic approach for the description of objects as Normalized Vector Codes using which objects are recognized based on their shapes.

Normalized Vector Codes for Object Recognition Using Artificial Neural Networks in the Framework of Picture Description Languages

Authors

G.D. Jasmin Mysore University

E.G. Rajan

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How to Cite

G.D. Jasmin. 2013. “. Global Journal of Computer Science and Technology – D: Neural & AI GJCST-D Volume 13 (GJCST Volume 13 Issue D2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 13 Issue D2
Pg. 25- 33

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Submission Received April 11, 2013
Accepted May 3, 2013
Published May 15, 2013

Keywords

formal representation of images object recognition Pattern recognition

Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: G.D. Jasmin, E.G. Rajan (PhD/Dr. count: 0)

View Count (all-time): 203

Total Views (Real + Logic): 9356

Total Downloads (simulated): 2461

Publish Date: 2013 05, Sun

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Total Views: 9356

Total Downloads: 2461

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