Two-Dimensional Optical Character Recognition of Mouse Drawn in Turkish Capital Letters Using Multi-Layer Perceptron Classification

Al-Zubaidi, Ehsan Ali; Mijwil, Maad M.; Alsaadi, Aysar Sh.

doi:10.35741/issn.0258-2724.54.4.4

Cited by 11 publications

(12 citation statements)

References 7 publications

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“…Optical character recognition (OCR) is a subset of the pattern-recognition domain. It belongs to the family of machine-recognition techniques [2], [19]. In light of the widespread use of text images today, this has led researchers to delve into the details of the analysis of emotions behind the texts of these images.…”

Section: Methodsmentioning

confidence: 99%

A Proposed Arabic Text and Text Image Classification Technique Using a URL Address

Hussein¹,

Kareem²

2019

Journal of Southwest Jiaotong University

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Sentiment analysis is examined within natural language processing. It is instrumental in finding the sentiment (feeling) or opinion (idea) hidden within a text. This research focuses on finding sentiments in a “text image” and then classifying them whether they are desirable or not. These phrases and words refer to the perspectives of people about anything they think about it, such as services, products, governments, and social media events. In this study, the optical character recognition (OCR) algorithm was used, which is considered as a classification procedure of visual patterns that appear in the form of a digital image. Moreover, the Naïve Bayes machine learning algorithm was employed to classify these texts. These two algorithms form a hybrid system that supports our needs, especially in this day of technological advances and frequent use of websites and sharing of text images through the internet. Finally, the new vision in this work involves dealing with Arabic language texts that are transformed into images, which are extracted from a URL address and then classified into desirable and undesirable content.

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Section: Methodsmentioning

confidence: 99%

A Proposed Arabic Text and Text Image Classification Technique Using a URL Address

Hussein¹,

Kareem²

2019

Journal of Southwest Jiaotong University

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“…Still, if the outputs are of real value, this is known as regression or functional learning. Examples of this type of learning include handwriting [38], predicting stock market values, forecasting weather, and rating news in a news agency. The second type is unsupervised learning [39][40], where the data consists of inputs only, and there are no outputs.…”

Section: Machine Learningmentioning

confidence: 99%

Comparison between Expert Systems, Machine Learning, and Big Data: An Overview

Mijwil

Mutar

Filali

et al. 2022

AJAS

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Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and health care workers in diagnosing diseases and clinical treatment, reducing the rate of medical error, and saving lives of citizens. The main and widely used technologies are expert systems, machine learning and big data. In the article, a brief overview of the three mentioned techniques will be provided to make it easier for readers to understand these techniques and their importance.

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“…The other type is Recurrent Neural Networks (RNNs) [14], they are transmitting information/data in multiple directions. Neural networks have a great experience to accomplish many complicated things, for example, language recognition; there is an article published in 2019 about the use of artificial neural networks in Turkish character (Türkçe karakterler) recognition written with a mouse [15]. There are also convolutional neural networks [16], Kohonen Self Organizing [17], Boltzmann machine networks [18], and Hopfield networks [19].…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Artificial Intelligence: A Survey on Evolution and Future Trends

Mijwil

Abttan

2021

AJAS

Self Cite

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Today, the world has heard a lot about artificial intelligence (AI) and its influence in accomplishing responsibilities, and it has become famous through films, series TV and social networking sites. Artificial Intelligence (AI) is a combination of algorithms and techniques developed by developers and programmers to build metal bodies that can work for centuries with individuals. Despite the interest of everyone in this topic and its spread significantly, most people do not have adequate knowledge and understanding of this science. This science is considered as one of the essential topics in computer sciences and engineering. In this article, it has been decided to write an overview on the topic of artificial intelligence and understand how its ideas started and spread universally. In addition, there is a review of Expert Systems, Artificial Neural Networks, Fuzzy Logic, and AI applications in the medical field and power systems, especially in investigating lung images of people with COVID-19. The idea presented in this article is that the future will soon come when humans and machines will merge into cyborgs or cybernetic creatures, and they will work together when completing tasks. This idea is described as transhumanism.

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Two-Dimensional Optical Character Recognition of Mouse Drawn in Turkish Capital Letters Using Multi-Layer Perceptron Classification

Cited by 11 publications

References 7 publications

A Proposed Arabic Text and Text Image Classification Technique Using a URL Address

A Proposed Arabic Text and Text Image Classification Technique Using a URL Address

Comparison between Expert Systems, Machine Learning, and Big Data: An Overview

Artificial Intelligence: A Survey on Evolution and Future Trends

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