Development of an automated system for identification of a person's signature

Keywords: automated system, person identification, image processing, neural network, machine learning

Abstract

The article describes the development of an automated system for identification of a person's signature. The relevance of the development is substantiated. An analysis of existing similar systems was carried out, their advantages and disadvantages were considered. A conceptual model of a person's signature identification system was built. A usage diagram for system users was built. A block diagram of the system's operation algorithm has been developed. A functional model of the system is given. A class diagram of the automated system of identification of a person's signature has been developed. A database was developed. A diagram of the system components is given. The system components, database and user interface were implemented. The proposed automated human signature identification system can find successful use in various areas of human activity, namely, in banking, legal field, medicine, and document flow. The practical use of the developed system will ensure the automation of the process of determining the authenticity of a person's signature. This will speed up signature identification processes and reduce the risks of identity fraud, and increase the level of document protection

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PDF Downloads: 63
Published
2024-03-27
How to Cite
Kovivchak , Y., Dubuk, V., & Buchkovsky , M. (2024). Development of an automated system for identification of a person’s signature. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (54), 18-26. https://doi.org/10.36910/6775-2524-0560-2024-54-02