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Dirbtinio intelekto atpažinimo metodų analizė ir taikymai ranka rašyto teksto atpažinimui / The Analysis of Recognition Methods Based on Artificial Intelligence and their Application in Handwritten Text Recognition

Pagrindinis darbo tikslas yra pritaikant dirbtinio intelekto algoritmus sukurti ranka rašyto teksto atpažinimo įrankį. Siekiant šio tikslo buvo apžvelgti dirbtinio intelekto atpažinimo metodai, atlikta teksto atpažinimo algoritmų analizė. Remiantis analizės rezultatais, sukurta ranka rašyto teksto atpažinimo programa, kurioje teksto segmentavimo operacija atliekama „lašelio aptikimo“ algoritmu. Teksto atpažinimo operacijai atlikti naudojamas bitų masyvų analizės algoritmas. / The aim of this work is to create an application for handwritten text recognition using artificial intelligence algorithms. For this purpose a number of recognition methods based on artificial intelligence were reviewed. Based on the review information an application was created for the purpose of recognizing handwritten text. The text segmentation was implemented using a blob detection algorithm. Text recognition was performed using bit array analysis algorithm. During the implementation and testing stage the main problem areas of such application were identified.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2012~D_20120831_111311-54746
Date31 August 2012
CreatorsKavaliauskas, Gediminas
ContributorsLaurutis, Remigijus, Sakalauskas, Leonidas, Felinskas, Gražvydas, Turskienė, Sigita, Grebenkovaitė Aganina, Rasa, Šiaučiūnas, Darius, Šimkuvienė, Laima, Siauliai University
PublisherLithuanian Academic Libraries Network (LABT), Siauliai University
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120831_111311-54746
RightsUnrestricted

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