AUTOMATING THE CUSTOMER VERIFICATION PROCESS IN A CAR SHARING SYSTEM BASED ON MACHINE LEARNING METHODS
Amirgaliyev B. Yegemberdiyeva G. Kuchansky A. Andrashko Y. Korol I.
2022Technology Center
Eastern-European Journal of Enterprise Technologies
2022#4Issue 2-11859 - 66 pp.
Convenient and accurate verification of the user of a car sharing system is one of the key components of the successful functioning of the car sharing system as a whole. The machine learning-based KYC (Know your customer) process algorithm makes it possible to improve the accuracy of customer data validation and verification. This makes it possible to eliminate possible losses and reputational losses of the company in case of unforeseen situations while using the clients car sharing services. The object of this study is to find a solution to the problem of user verification in a car sharing system based on the KYC process using deep learning methods with a combination of OCR (Optical Character Recognition) methods. The statement of the user verification problem in the car sharing system was formalized and the key parameters for the KYC process have been determined. The algorithm of the KYC process was constructed. The algorithm includes six successive stages: separating a face in the photograph, comparing faces, checking documents and their validity period, establishing and recognizing ROI (region of interest), formulating a verification decision. To separate the face in the clients photograph and compare faces, methods based on deep learning, as well as the quick HoG method (Histogram of oriented gradients), were considered and implemented. Verification of these methods on a test dataset, which includes images of documents of two thousand clients, showed that the recognition accuracy was 91 % according to Jaccards metric. The average time of face separation using the HoG method was 0.2 seconds and when using trained models – 3.3 seconds. Using a combination of ROI and ORC separation methods makes it possible to significantly improve the accuracy of verification. The proposed client verification algorithm is implemented as an API on an ML server and integrated into the car sharing system
Car sharing , Know your customer , Optical character recognition , Pattern recognition
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Department of Computer Engineering, Astana IT University, Mangilik Yel ave.,55/11, Nur-Sultan, 010000, Kazakhstan
Department of Information Systems and Technology, Taras Shevchenko National University of Kyiv, Volodymyrska str.,60, Kyiv, 01033, Ukraine
Department of System Analysis and Optimization Theory, Uzhhorod National University, Narodna sq.,3, Uzhhorod, 88000, Ukraine
Department of Algebra and Differential Equations, Uzhhorod National University, Narodna sq.,3, Uzhhorod, 88000, Ukraine
Department of Computer Engineering
Department of Information Systems and Technology
Department of System Analysis and Optimization Theory
Department of Algebra and Differential Equations
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