UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1808816


Registration ID:
187464

Page Number

438-443

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Title

Natural Scene Text Localization by Convolution Neural Network with SVM

Abstract

In the past few years, text in natural scene images has a effective feature for content based retrieval of images. It can be extracted and used in search engines, providing effective information about the images. In this study two main challenges, one of the text position and second is prediction of box size instead of growing edges approach.In Prediction approach use convolution neural network architecture(CNN) of Deep learning with classification by support vector machine (SVM). In Experimental results show that the proposed method performs as well existing method on ICDAR 2013 Dataset.In experiment result analysis on two aspects detection of text localization and second is classification both are show significance improve Performance.

Key Words

Edge detection, Convolution Neural Network(CNN), Support Vector Machine(SVM).

Cite This Article

"Natural Scene Text Localization by Convolution Neural Network with SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.438-443, August-2018, Available :http://www.jetir.org/papers/JETIR1808816.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Natural Scene Text Localization by Convolution Neural Network with SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp438-443, August-2018, Available at : http://www.jetir.org/papers/JETIR1808816.pdf

Publication Details

Published Paper ID: JETIR1808816
Registration ID: 187464
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 438-443
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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