Hindi Text Document Classification System Using SVM and Fuzzy: A Survey

Inrecentyears,manyinformationretrieval,characterrecognition,andfeatureextractionmethodologies in Devanagari and especially in Hindi have been proposed for different domain areas. Due to enormous scanned data availability and to provide an advanced improvement of existing Hindi automatedsystemsbeyondopticalcharacterrecognition,anewideaofHindiprintedandhandwritten documentclassificationsystemusingsupportvectormachineandfuzzylogicisintroduced.This firstpre-processesandthenclassifiestextualimageddocumentsintopredefinedcategories.With thisconcept,thisarticledepictsafeasibilitystudyofsuchsystemswiththerelevanceofHindi,a surveyreportofstatisticalmeasurementsofHindikeywordsobtainedfromdifferentsources,andthe inherentchallengesfoundinprintedandhandwrittendocuments.Thetechnicalreviewsareprovided andgraphicallyrepresentedtocomparemanyparametersandestimatecontents,formsandclassifiers usedinvariousexistingtechniques. KeywoRDS Character Recognition, Fuzzy Logic, Handwritten Documents, Hindi Document Classification, Image Text Processing, Printed Documents, Statistical Analysis, SVM, Word Recognition

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