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Title: Hand-written character structure recognition technology on the basis of identification measurements
Authors: Kayrat Koshekov, Vadim Kobenko, Abai Koshekov, Sayat Moldakhmetov
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2020
Volume: 15
Issue: 21
Language: English
This article describes the technology of recognizing the structure of handwritten characters converting the input image into a binary file and comparing it with a set of similar precedent files. The efficiency of application of the parameters determined by the solution of the logistic curve, which integrally characterize the distribution form, virtual frequency and degree of randomness of signals, is established. The article describes a device designed by artificial intelligence technology with the following channels: input image and standards, measurement and logical analysis. Based on the research results, the efficiency of the technology is shown and the structure of the character recognition system with the accumulation of statistical information is proposed.
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