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📢 Call for Papers — Volume 13, Issue 7 (July 2026) | Submission Deadline: July 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-1183

A Novel Approach to Detect and localize the Text inNatural scene imag

Author(s):Prof. B. K. Sarojini, Mr. Mahesh Mahadar
Institution:Department of Electronics and Communication Engineering, Basaveshwara Engineering College, Bagalkot India
Published In:Vol. 2, Issue 5 — May 2015
Page No.:1386-1392
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

The informationavailablein the naturalscene provides very importantcluesformanyimagebased application. So thedetectionandlocalization of textfromnaturalscene imageisimportant taskforcontent basedimageanalysis. Inthispaper,wedevelop anovelapproach todetectand localizetextsin naturalsceneimages. Thisproblem ischallengingduetothefact that text has different in size, alignment, orientation, style,complexbackground of imagesaswellasimage having thelowcontrast. Initially,theRGBimageisconvertedintograyscaleimage andapplied to thelocal binarizationalgorithmfor thesegmentation. Afterthat,HaarWaveletTransform(DWT)isused which isfastestas compared withallwaveletsbecauseitsfiltercoefficientsareeither 1 or -1. It decomposeimageintofoursub band, oneisaverage andotherthreearedetailedwhichhelps tofind outtheapproximatelyconfidentregion.To filter out the non-text component, aconditional randomfield(CRF) is usedwhich appliedonconfidentregionimage. Finally,by usingsome predefinedcondition,thetextis obtainedin boundingbox.

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🕮 How to Cite

Prof. B. K. Sarojini, Mr. Mahesh Mahadar, “A Novel Approach to Detect and localize the Text inNatural scene imag”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 1386-1392, May 2015.

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