Author:
D. Majeed Hamsa,Nariman Goran Saman
Abstract
Character recognition (CR) systems were attracted by a massive number of authors’ interest in this field, and lot of research has been proposed, developed, and published in this regard with different algorithms and techniques due to the great interest and demand of raising the accuracy of the recognition rate and the reliability of the presented system. This work is proposed to provide a guideline for CR system construction to afford a clear view to the authors on building their systems. All the required phases and steps have been listed and clarified within sections and subsections along with detailed graphs and tables beside the possibilities of techniques and algorithms that might be used, developed, or merged to create a high-performance recognition system. This guideline also could be useful for readers interested in this field by helping them extract the information from such papers easily and efficiently to reach the main structure along with the differences between the systems. In addition, this work recommends to researchers in this field to comprehend a specified categorical table in their work to provide readers with the main structure of their work that shows the proposed system’s structural layout and enables them to easily find the information and interests.
Publisher
University of Human Development
Cited by
2 articles.
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1. Enhancing Chinese Font Recognition with Convolutional Neural Networks;2023 International Conference on Networks, Communications and Intelligent Computing (NCIC);2023-11-17
2. A Comprehensive and Comparative Study of Handwriting Recognition System;2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM);2023-05-17