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.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2012~D_20120831_111311-54746 |
| Date | 31 August 2012 |
| Creators | Kavaliauskas, Gediminas |
| Contributors | Laurutis, Remigijus, Sakalauskas, Leonidas, Felinskas, Gražvydas, Turskienė, Sigita, Grebenkovaitė Aganina, Rasa, Šiaučiūnas, Darius, Šimkuvienė, Laima, Siauliai University |
| Publisher | Lithuanian Academic Libraries Network (LABT), Siauliai University |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120831_111311-54746 |
| Rights | Unrestricted |
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