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Talk · International Conference on Telecommunications and Signal Processing · July 13, 2022

ANew Convolutional Neural Network for Recognizing Handwritten Letters of the Russian Alphabet

Anastasiia N. Safonova, Andrey Levkov, Dmitrii Kaplun

Dmitry Kaplun
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Abstract

With the rapid development of computer technology, it is becoming increasingly important to have the ability to convert handwritten text into a digital version of printed text for copying, editing, or extracting data from it. The first stage of this process is the recognition of the letters of the proposed text. The article presents a new convolutional neural network (CNN) for image recognition of handwritten letters of the Russian alphabet. The resulting CNN algorithm transforms the image and recognizes the letter that is depicted on it. The final classification accuracy of the NN model on an independent dataset reaches up to 99%.

Handwritten Text Recognition TechniquesVehicle License Plate RecognitionAdvanced Neural Network Applicationshandwritten letter recognitionRussian alphabetconvolutional neural networks

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