A Novel Method for Recognition of Persian Alphabet by Using Fuzzy Neural Network

Mohammad Mehdi Motahari Kia, Jafar A. Alzubi, Mehdi Gheisari, Xiaobo Zhang, Mohamadtaghi Rahimi, Yongrui Qin

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Abstract

This paper presents a system that can recognize handwritten words expressed using broken letters of the Persian alphabet. The proposed system can be used for most activities related to the gathering of public information. Statistical features of the separated/broken letters are employed in the system. Each letter is recognized using interconnected fuzzy neural network. The advantages of this method include high precision owing to the strength of the neural network algorithm and the possibility of extending dataset instance codes in a simple manner. At last, an evaluation for the proposed method is provided experimentally.
Original languageEnglish
Article number8532339
Pages (from-to)77265-77271
Number of pages7
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 12 Nov 2018

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Mehdi Motahari Kia, M., Alzubi, J. A., Gheisari, M., Zhang, X., Rahimi, M., & Qin, Y. (2018). A Novel Method for Recognition of Persian Alphabet by Using Fuzzy Neural Network. IEEE Access, 6, 77265-77271. [8532339]. https://doi.org/10.1109/ACCESS.2018.2881050