UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 3
March-2015
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1503042


Registration ID:
150118

Page Number

616-622

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Title

Study and evaluation of Segmentation and feature Extraction techniques forDigit recognition

Abstract

Image processing is wider area of research due to use of image processing in real time applications and devices which requires more accuracy and efficiency in recognition. Fundamental task of Image processing are Image segmentation, Feature extraction and classification of extracted feature. For Computer vision system, the basic purpose of image processing is to produce images which make the subsequent analysis more reliable and simpler. We are not at all the interested how well the image looks while we focuses in interesting and hidden information over there. The text or digit recognition by capturing images or scanned images is very crucial task because various preprocessing required before the segmentation and feature extraction. Purpose of this paper is to compares single or combination of methods for Image segmentation and similarly compares multiple Feature extraction methods. The main aim of this paper is to find out best method or combination or hybrid methods for digit recognition in real time basis. And proposed segmentation and Feature extraction method is to segment the object less distortion and extract the feature or information in maximum accuracy level. The purpose of developing this method is to recognize text or digit of captured photographs automatically in real time. Also the algorithm must work for worst cases efficiently.

Key Words

Image processing , Digit recognition , Hybrid segmentation ,Multiple Feature extraction, Classification ,real time recognition.

Cite This Article

"Study and evaluation of Segmentation and feature Extraction techniques forDigit recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.616-622, March-2015, Available :http://www.jetir.org/papers/JETIR1503042.pdf

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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

"Study and evaluation of Segmentation and feature Extraction techniques forDigit recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp616-622, March-2015, Available at : http://www.jetir.org/papers/JETIR1503042.pdf

Publication Details

Published Paper ID: JETIR1503042
Registration ID: 150118
Published In: Volume 2 | Issue 3 | Year March-2015
DOI (Digital Object Identifier):
Page No: 616-622
Country: Durg, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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