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Program for Classification of Scanned Documents of Touch-bank Clients

Student: Barashkov Andrei

Supervisor: Boris Klimov

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2018

Machine Learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) with data, without being explicitly programmed. Computer vision is a discipline, which tries to describe how artificial systems can extract data from images and do some work with it. This paper presents one of many possible ways to integrate computer vision into different areas, to be exact, areas where employees have a lot of work with documents in written form. Entry set for this program is a set of scanned documents, which is going to be rotated using computer vision to become an output set of the same scanned documents, but which are going to be understandable by human operator. Integration of this project into areas such as banking or state structures probably will increase time efficiency of employees.

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