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Keyword: Handwriting recognitionOpen AccessArticle
6 Pages, 372 KB 
Hiragana and Katakana Minutiae based Recognition System
Abstract:
The Japanese writing system is unique due to the number of characters employed and the methods used to write words. It consists of three different ’alphabets’, which may result in the methods used to process Latin script not being sufficient to obtain satisfactory results when attempting to apply them to a recognition of the Japanese…
Read More(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
10 Pages, 3,303 KB
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
Abstract:
This article discusses the problem of handwriting recognition in Kazakh and Russian languages. This area is poorly studied since in the literature there are almost no works in this direction. We have tried to describe various approaches and achievements of recent years in the development of handwritten recognition models in relation to Cyrillic graphics. The…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))