Over Edge Detection Evolution and Challenges on Pattern Recognition
Indra Gandhi R1, V. Ponnavaikko2

1Indra Gandhi R, Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education & Research, Chennai (Tamil Nadu), India.
2Dr. V. Ponnavaikko, Pro-Vice Chancellor, Vinayaka Mission Research Foundation, (Tamil Nadu), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 278-280 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00640581S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Pattern recognition places an important role in partitioning the higher than mentioned issues. Pattern recognition analysis is complete provided that it acknowledges distorted document, which is deficient within the present analysis works. In all image pattern recognition, process, analysis and PC vision techniques Edge detection plays major role. In recent past pattern recognition directly deals pc vision systems, orientation and intensity info concerning edges as primary input for more process to document identification. This review provides a summary of the literature on the sting detection ways for pattern recognition.
Keywords: Edge Detection, Pattern Recognition, Character Recognition, Image Processing.
Scope of the Article: Pattern Recognition