The Analysis of Recognition Methods Based on Artificial Intelligence and their Application in Handwritten Text Recognition
Journal Title: Jaunųjų mokslininkų darbai - Year 2012, Vol 37, Issue 4
Abstract
The fields of applications of the recognition methods based on artificial intelligence expand more and more. One of these fields is handwriting text recognition. This article provides analysis of several recognition methods and algorithms based on artificial intelligence. Based on this analysis 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 of the application the main problem areas were identified: text segmentation into correct symbols and recognition of symbols that are written in a similar way. This article also provides the review on the perspectives of the application of these recognition methods to other fields
Authors and Affiliations
Gediminas Kavaliauskas, Gražvydas Felinskas
Keywords
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