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  Published Paper Details:

  Paper Title

A NEW SIFT AND SURF BASED VERIFICATION OF DOCUMENT IN AUTOMATIC LOGO EXTRACTION AND DETECTION

  Authors

  LAKSHMI PRASAD CHENNAMSETTY,  BOYAPATI BHARATHIDEVI

  Keywords

TC-Transfer Certificate, Logo Detection, Thresholding, feature extraction, SIFT, SURF, Bounding Box, match feature.

  Abstract


Algorithms and methods used for recognize of objects from images in imperative to implement numerous operations such as document verification and object identification. To extract and segmenting logo from transfer certificates or any other document become the difficult task. The present investigation is effort to design the necessary programme module to extract logo from different document. This well-defined module could be an efficient tool to recognize the valued document like TC or any other document that enhances accuracy to saves time, this Automated logo detection module and its application could be extended in access of other documentation. In this paper SIFT and SURF algorithm is used to extract logo from image. In the next step work may be used in noise removal technology. This module and its proper execution help to extract and matches the objects and will give promising results for document identification. We got 96% accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704142

  Paper ID - 170457

  Page Number(s) - 1078-1084

  Pubished in - Volume 5 | Issue 4 | November 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  LAKSHMI PRASAD CHENNAMSETTY,  BOYAPATI BHARATHIDEVI,   "A NEW SIFT AND SURF BASED VERIFICATION OF DOCUMENT IN AUTOMATIC LOGO EXTRACTION AND DETECTION ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.1078-1084, November 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704142.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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