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UDC 004.932.2
FEATURES AQUISITION METHODS IN HANDWRITTEN CHARACTERS RECOGNITION
Anisimova Ellina Sergeevna
Elabuga Institute (branch) of Kazan (Volga Region) Federal University
Assistant of the Department of Informatics and Discrete Mathematics
Elabuga Institute (branch) of Kazan (Volga Region) Federal University
Assistant of the Department of Informatics and Discrete Mathematics
Abstract
Recognition of handwritten characters is a big problem in the field of image processing and pattern recognition. Detection efficiency largely depends on the efficient recovery features that can separate the user samples from other users of the samples. In this context, this article describes the main methods for collecting evidence of the character data.
Article reference:
Features aquisition methods in handwritten characters recognition // Modern technics and technologies. 2016. № 3 [Electronic journal]. URL: https://technology.snauka.ru/en/2016/03/9710
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