Character recognition systems and a study for Ottoman letters
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Abstract (EN)
Character Recognition System are discussed in this thesis. Translation system of the Ottoman language was developed according to the C# programming language. Ottoman letters are recognized by translation system as an optical character recognition system that is generating input as ASCII code. All compounds of structure of the input text is controlled whether the system during input text installation phase. All of the possible alphabet translations are produced according to content of document and dictionary. The unknown pieces of text is asked the user if a translation can not be obtained. Nowadays, it has become imperative to facilitate of the interaction between computer and users. Automatically, transferred to a computer system of the text printed on paper is important according to time saving for the users. Character Recognition System that is the process reading of the printed text is converted to text through the computer. This thesis is divided into six sections: Sections consists of Introduction, Integrated Data, Image processing, Assessment Methods, Applications and Materials, Conclusions and Recommendations Introduction section is mentioned about the aim of this thesis and literature review about this study. Integrated Data section is mentioned about general structure of character recognition system, working principle of character recognition system, the current character recognition systems and usage areas of this systems. Ottoman language structure with its advantages and disadvantages and examining the ottoman archives. Image processing section is mentioned about principles and characteristics of the image processing system. Assessment Methods section is mentioned about the methods used for character recognition system are indicated. Characteristics of the application is described algorithm and interface of the program in the Applications and Materials section. Finally, Test results are evaluated and the suggestions and recommendations determined in the Conclusions and Recommendations section.
Author
Utku Can Aytaç
Institution
How to Cite
Utku Can Aytaç (Master Thesis). Character recognition systems and a study for Ottoman letters, 2016, İstanbul Aydın University.
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