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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 8 | Month- August 2026
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Paper Title
INFORMATION EXTRACTION AMONG SYMBOLICALLY COMPRESSED IMAGE IN DATABASE
Authors
Rashmi M. Choudhari, Dr. D. M. Dakhane
Keywords
Duplicate detection, Document indexing, Symbolic compression, IM3
Abstract
The detection of duplicate images is a useful means of indexing a large database of documents. An algorithm for duplicate document detection is proposed in this papar that operates directly on images that have been symbolically compressed using techniques related to the ongoing JBIG2 standardization effort. This report describes a hidden Marko model (HMM) method that recognizes the text in an image by deciphering data from the compressed representation. Experimental results show that it can recover better than 90% of the text in compressed document images and that this is sufficient to identify duplicates in a large database. This describes a method for duplicate detection on symbolically compressed document images. This paper describes a method for duplicate detection on symbolically compressed document images. It recognizes the text in an image by deciphering the sequence of occurrence of blobs in the compressed representation. We propose a Hidden Markov Model (HMM) method for solving such deciphering problems and suggest applications in multilingual document duplicate detection.
IJCRT's Publication Details
Unique Identification Number - IJCRT1801099
Paper ID - 180180
Page Number(s) - 746-753
Pubished in - Volume 6 | Issue 1 | January 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rashmi M. Choudhari, Dr. D. M. Dakhane, "INFORMATION EXTRACTION AMONG SYMBOLICALLY COMPRESSED IMAGE IN DATABASE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.746-753, January 2018, Available at :http://www.ijcrt.org/papers/IJCRT1801099.pdf
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Volume 14 | Issue 8
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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